{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\swhitt\Desktop\Social Forces Revision 1\Social Forces Replication Log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}24 Apr 2023, 16:06:01

{com}. do "C:\Users\swhitt\Desktop\Social Forces Revision 1\Social Forces Replication Do File.do"
{txt}
{com}. *Replication Instructions for 
. *Theorizing Potential Downstream Cultural Consequences of LGBT+ Activism
. 
. *Below are instructions for replicating all manuscript and online appendix tables and figures 
. *in STATA using the dataset “Social Forces Replication Data.dta”. 
. 
. *For Excel charts, use “Social Forces Replication Excel Charts”. 
. *Please contact Sam Whitt (swhitt@highpoint.edu) for questions regarding data replication.
. 
. *Manuscript Table/Figure Replication
. 
. *Figure 2. Changes in LGBT+ Support Over Time Outside Sarajevo
. 
. cibar gayrights if sarajevocity==0, over1(treatment2) 
{res}{txt}
{com}. graph save g1
{res}{txt}(file g1.gph saved)

{com}. cibar supportpride if sarajevocity==0, over1(treatment2) 
{res}{txt}
{com}. graph save g2
{res}{txt}(file g2.gph saved)

{com}. cibar closetogay if sarajevocity==0, over1(treatment2) 
{res}{txt}
{com}. graph save g3
{res}{txt}(file g3.gph saved)

{com}. cibar dgprogay if sarajevocity==0, over1(treatment2) 
{res}{txt}
{com}. graph save g4
{res}{txt}(file g4.gph saved)

{com}. graph combine g1.gph g2.gph g3.gph g4.gph
{res}{txt}
{com}. *Note: Additional Labeling and Formatting Required
. 
.  *Table 1. Change in LGBT+ Support Over Time Outside Sarajevo (OLS Regression)
.  
. reg mmx_progayindex2 i.treatment2 if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,463
                                                {txt}F(2, 93)          =  {res}     5.35
                                                {txt}Prob > F          = {res}    0.0063
                                                {txt}R-squared         = {res}    0.0165
                                                {txt}Root MSE          =    {res} .19915

{txt}{ralign 78:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mmx_progay~2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.011895{col 26}{space 2} .0150759{col 37}{space 1}   -0.79{col 46}{space 3}0.432{col 54}{space 4}-.0418329{col 67}{space 3} .0180428
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .047801{col 26}{space 2} .0165617{col 37}{space 1}    2.89{col 46}{space 3}0.005{col 54}{space 4} .0149128{col 67}{space 3} .0806893
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1573805{col 26}{space 2} .0123063{col 37}{space 1}   12.79{col 46}{space 3}0.000{col 54}{space 4} .1329427{col 67}{space 3} .1818183
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg mmx_progayindex2 i.treatment2##c.eth_frac13 voteeu ethnocentric religious  if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,403
                                                {txt}F(8, 93)          =  {res}    10.22
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0449
                                                {txt}Root MSE          =    {res} .19688

{txt}{ralign 89:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       mmx_progayindex2{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}treatment2 {c |}
{space 21}1  {c |}{col 25}{res}{space 2} -.050622{col 37}{space 2} .0253182{col 48}{space 1}   -2.00{col 57}{space 3}0.048{col 65}{space 4} -.100899{col 78}{space 3}-.0003451
{txt}{space 21}2  {c |}{col 25}{res}{space 2}-.0142666{col 37}{space 2}   .02778{col 48}{space 1}   -0.51{col 57}{space 3}0.609{col 65}{space 4}-.0694322{col 78}{space 3}  .040899
{txt}{space 23} {c |}
{space 13}eth_frac13 {c |}{col 25}{res}{space 2}-.0969297{col 37}{space 2} .0576654{col 48}{space 1}   -1.68{col 57}{space 3}0.096{col 65}{space 4}-.2114416{col 78}{space 3} .0175823
{txt}{space 23} {c |}
treatment2#c.eth_frac13 {c |}
{space 21}1  {c |}{col 25}{res}{space 2} .1830363{col 37}{space 2} .0814963{col 48}{space 1}    2.25{col 57}{space 3}0.027{col 65}{space 4} .0212008{col 78}{space 3} .3448717
{txt}{space 21}2  {c |}{col 25}{res}{space 2} .2521099{col 37}{space 2} .0808039{col 48}{space 1}    3.12{col 57}{space 3}0.002{col 65}{space 4} .0916494{col 78}{space 3} .4125704
{txt}{space 23} {c |}
{space 17}voteeu {c |}{col 25}{res}{space 2}  .030509{col 37}{space 2} .0115881{col 48}{space 1}    2.63{col 57}{space 3}0.010{col 65}{space 4} .0074974{col 78}{space 3} .0535206
{txt}{space 11}ethnocentric {c |}{col 25}{res}{space 2}-.0377598{col 37}{space 2} .0123879{col 48}{space 1}   -3.05{col 57}{space 3}0.003{col 65}{space 4}-.0623596{col 78}{space 3}  -.01316
{txt}{space 14}religious {c |}{col 25}{res}{space 2}-.0236428{col 37}{space 2} .0074502{col 48}{space 1}   -3.17{col 57}{space 3}0.002{col 65}{space 4}-.0384374{col 78}{space 3}-.0088481
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .2300939{col 37}{space 2} .0292005{col 48}{space 1}    7.88{col 57}{space 3}0.000{col 65}{space 4} .1721075{col 78}{space 3} .2880802
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg mmx_progayindex2 i.treatment2##c.eth_frac13  voteeu ethnocentric religious hadcovid diedcovid vaccinated Bosniak Croat Serb Men age Education rural unemployed  rs if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,402
                                                {txt}F(20, 93)         =  {res}     9.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0937
                                                {txt}Root MSE          =    {res} .19227

{txt}{ralign 89:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       mmx_progayindex2{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}treatment2 {c |}
{space 21}1  {c |}{col 25}{res}{space 2}-.0416831{col 37}{space 2} .0254181{col 48}{space 1}   -1.64{col 57}{space 3}0.104{col 65}{space 4}-.0921583{col 78}{space 3} .0087922
{txt}{space 21}2  {c |}{col 25}{res}{space 2}-.0189691{col 37}{space 2}   .02754{col 48}{space 1}   -0.69{col 57}{space 3}0.493{col 65}{space 4} -.073658{col 78}{space 3} .0357198
{txt}{space 23} {c |}
{space 13}eth_frac13 {c |}{col 25}{res}{space 2}-.0990673{col 37}{space 2} .0581722{col 48}{space 1}   -1.70{col 57}{space 3}0.092{col 65}{space 4}-.2145857{col 78}{space 3} .0164511
{txt}{space 23} {c |}
treatment2#c.eth_frac13 {c |}
{space 21}1  {c |}{col 25}{res}{space 2} .1620934{col 37}{space 2} .0838075{col 48}{space 1}    1.93{col 57}{space 3}0.056{col 65}{space 4}-.0043317{col 78}{space 3} .3285184
{txt}{space 21}2  {c |}{col 25}{res}{space 2} .2408764{col 37}{space 2} .0806505{col 48}{space 1}    2.99{col 57}{space 3}0.004{col 65}{space 4} .0807205{col 78}{space 3} .4010323
{txt}{space 23} {c |}
{space 17}voteeu {c |}{col 25}{res}{space 2} .0338806{col 37}{space 2} .0112798{col 48}{space 1}    3.00{col 57}{space 3}0.003{col 65}{space 4} .0114812{col 78}{space 3} .0562799
{txt}{space 11}ethnocentric {c |}{col 25}{res}{space 2}-.0372448{col 37}{space 2} .0112041{col 48}{space 1}   -3.32{col 57}{space 3}0.001{col 65}{space 4} -.059494{col 78}{space 3}-.0149956
{txt}{space 14}religious {c |}{col 25}{res}{space 2}-.0214459{col 37}{space 2} .0074455{col 48}{space 1}   -2.88{col 57}{space 3}0.005{col 65}{space 4}-.0362312{col 78}{space 3}-.0066607
{txt}{space 15}hadcovid {c |}{col 25}{res}{space 2} .0228274{col 37}{space 2} .0253287{col 48}{space 1}    0.90{col 57}{space 3}0.370{col 65}{space 4}-.0274703{col 78}{space 3} .0731252
{txt}{space 14}diedcovid {c |}{col 25}{res}{space 2} .1587127{col 37}{space 2} .0637494{col 48}{space 1}    2.49{col 57}{space 3}0.015{col 65}{space 4} .0321191{col 78}{space 3} .2853064
{txt}{space 13}vaccinated {c |}{col 25}{res}{space 2}-.0055457{col 37}{space 2} .0198556{col 48}{space 1}   -0.28{col 57}{space 3}0.781{col 65}{space 4} -.044975{col 78}{space 3} .0338835
{txt}{space 16}Bosniak {c |}{col 25}{res}{space 2}-.0329091{col 37}{space 2} .0348234{col 48}{space 1}   -0.95{col 57}{space 3}0.347{col 65}{space 4}-.1020615{col 78}{space 3} .0362434
{txt}{space 18}Croat {c |}{col 25}{res}{space 2} .0039772{col 37}{space 2} .0393991{col 48}{space 1}    0.10{col 57}{space 3}0.920{col 65}{space 4}-.0742617{col 78}{space 3}  .082216
{txt}{space 19}Serb {c |}{col 25}{res}{space 2}-.0453784{col 37}{space 2} .0375769{col 48}{space 1}   -1.21{col 57}{space 3}0.230{col 65}{space 4}-.1199987{col 78}{space 3} .0292419
{txt}{space 20}Men {c |}{col 25}{res}{space 2}-.0407546{col 37}{space 2} .0093401{col 48}{space 1}   -4.36{col 57}{space 3}0.000{col 65}{space 4}-.0593022{col 78}{space 3} -.022207
{txt}{space 20}age {c |}{col 25}{res}{space 2}-.0006038{col 37}{space 2} .0002831{col 48}{space 1}   -2.13{col 57}{space 3}0.036{col 65}{space 4} -.001166{col 78}{space 3}-.0000415
{txt}{space 14}Education {c |}{col 25}{res}{space 2} .0125833{col 37}{space 2} .0029775{col 48}{space 1}    4.23{col 57}{space 3}0.000{col 65}{space 4} .0066705{col 78}{space 3} .0184961
{txt}{space 18}rural {c |}{col 25}{res}{space 2}-.0183631{col 37}{space 2} .0132512{col 48}{space 1}   -1.39{col 57}{space 3}0.169{col 65}{space 4}-.0446773{col 78}{space 3} .0079512
{txt}{space 13}unemployed {c |}{col 25}{res}{space 2}-.0043696{col 37}{space 2} .0101694{col 48}{space 1}   -0.43{col 57}{space 3}0.668{col 65}{space 4} -.024564{col 78}{space 3} .0158249
{txt}{space 21}rs {c |}{col 25}{res}{space 2} .0160025{col 37}{space 2}  .017175{col 48}{space 1}    0.93{col 57}{space 3}0.354{col 65}{space 4}-.0181035{col 78}{space 3} .0501086
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .2527003{col 37}{space 2} .0545226{col 48}{space 1}    4.63{col 57}{space 3}0.000{col 65}{space 4} .1444293{col 78}{space 3} .3609713
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Note: Additional Labeling and Formatting Required using outreg2 in STATA
. 
. *Figure 3. The Impact of Cultural Receptivity on LGBT+ Support (Marginal Effects)
. 
. reg mmx_progayindex2 i.treatment2##c.eth_frac13 if sarajevocity==0, robust

{txt}Linear regression                               Number of obs     = {res}     2,463
                                                {txt}F(5, 2457)        =  {res}    13.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0262
                                                {txt}Root MSE          =    {res} .19829

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       mmx_progayindex2{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}treatment2 {c |}
{space 21}1  {c |}{col 25}{res}{space 2}-.0585872{col 37}{space 2} .0167532{col 48}{space 1}   -3.50{col 57}{space 3}0.000{col 65}{space 4} -.091439{col 78}{space 3}-.0257353
{txt}{space 21}2  {c |}{col 25}{res}{space 2}-.0179412{col 37}{space 2} .0184429{col 48}{space 1}   -0.97{col 57}{space 3}0.331{col 65}{space 4}-.0541065{col 78}{space 3}  .018224
{txt}{space 23} {c |}
{space 13}eth_frac13 {c |}{col 25}{res}{space 2}-.0857694{col 37}{space 2} .0368427{col 48}{space 1}   -2.33{col 57}{space 3}0.020{col 65}{space 4}-.1580153{col 78}{space 3}-.0135236
{txt}{space 23} {c |}
treatment2#c.eth_frac13 {c |}
{space 21}1  {c |}{col 25}{res}{space 2} .1820529{col 37}{space 2} .0542602{col 48}{space 1}    3.36{col 57}{space 3}0.001{col 65}{space 4} .0756525{col 78}{space 3} .2884534
{txt}{space 21}2  {c |}{col 25}{res}{space 2} .2423686{col 37}{space 2} .0560142{col 48}{space 1}    4.33{col 57}{space 3}0.000{col 65}{space 4} .1325286{col 78}{space 3} .3522086
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2}  .179935{col 37}{space 2} .0125278{col 48}{space 1}   14.36{col 57}{space 3}0.000{col 65}{space 4} .1553689{col 78}{space 3}  .204501
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mcp eth_frac13 treatment2, at2(1 2)
{res}{txt}
{com}. graph save g5
{res}{txt}(file g5.gph saved)

{com}. reg mmx_progayindex2 c.eth_frac13  voteeu if sarajevocity==0 & yr2021==1, robust

{txt}Linear regression                               Number of obs     = {res}       833
                                                {txt}F(2, 830)         =  {res}    13.47
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0285
                                                {txt}Root MSE          =    {res} .21627

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mmx_progay~2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}eth_frac13 {c |}{col 14}{res}{space 2}   .16078{col 26}{space 2} .0418856{col 37}{space 1}    3.84{col 46}{space 3}0.000{col 54}{space 4} .0785658{col 67}{space 3} .2429942
{txt}{space 6}voteeu {c |}{col 14}{res}{space 2} .0578756{col 26}{space 2} .0164931{col 37}{space 1}    3.51{col 46}{space 3}0.000{col 54}{space 4} .0255026{col 67}{space 3} .0902487
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1189452{col 26}{space 2} .0178571{col 37}{space 1}    6.66{col 46}{space 3}0.000{col 54}{space 4} .0838949{col 67}{space 3} .1539955
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mcp eth_frac13 voteeu
{res}{txt}
{com}. graph save g6
{res}{txt}(file g6.gph saved)

{com}. reg mmx_progayindex2 c.eth_frac13 ethnocentric if sarajevocity==0 & yr2021==1, robust

{txt}Linear regression                               Number of obs     = {res}       828
                                                {txt}F(2, 825)         =  {res}     8.98
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0195
                                                {txt}Root MSE          =    {res} .21723

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mmx_progay~2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}eth_frac13 {c |}{col 14}{res}{space 2}  .158649{col 26}{space 2} .0422947{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4} .0756311{col 67}{space 3} .2416668
{txt}ethnocentric {c |}{col 14}{res}{space 2}-.0300439{col 26}{space 2} .0156077{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4}-.0606794{col 67}{space 3} .0005916
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1796228{col 26}{space 2} .0168497{col 37}{space 1}   10.66{col 46}{space 3}0.000{col 54}{space 4} .1465495{col 67}{space 3} .2126962
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mcp eth_frac13 ethnocentric
{res}{txt}
{com}. graph save g7
{res}{txt}(file g7.gph saved)

{com}. reg mmx_progayindex2 c.eth_frac13 religious if sarajevocity==0 & yr2021==1, robust

{txt}Linear regression                               Number of obs     = {res}       825
                                                {txt}F(2, 822)         =  {res}     9.89
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0211
                                                {txt}Root MSE          =    {res}  .2165

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mmx_progay~2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}eth_frac13 {c |}{col 14}{res}{space 2} .1506554{col 26}{space 2}  .041537{col 37}{space 1}    3.63{col 46}{space 3}0.000{col 54}{space 4} .0691244{col 67}{space 3} .2321865
{txt}{space 3}religious {c |}{col 14}{res}{space 2}-.0298732{col 26}{space 2} .0117244{col 37}{space 1}   -2.55{col 46}{space 3}0.011{col 54}{space 4}-.0528864{col 67}{space 3}-.0068601
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2301091{col 26}{space 2} .0297881{col 37}{space 1}    7.72{col 46}{space 3}0.000{col 54}{space 4} .1716394{col 67}{space 3} .2885788
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mcp eth_frac13 religious
{res}{txt}
{com}. graph save g8
{res}{txt}(file g8.gph saved)

{com}. graph combine g5.gph g6.gph g7.gph g8.gph
{res}{txt}
{com}. *Note: Additional Labeling and Formatting Required
. 
. *Online Appendix Material Replication
. 
. *Comparing Effects from the Sarajevo Pride Inside vs. Outside Sarajevo
. 
. *Figure 3:  Support for Sarajevo Pride In Sarajevo Over Time (%)
. tab supportpride if sarajevocity==1 & treatment2==0

  {txt}RECODE of O_o6 {c |}
 (Do you support {c |}
       or oppose {c |}
 Sarajevo having {c |}
     a gay pride {c |}
         march?) {c |}      Freq.     Percent        Cum.
{hline 17}{c +}{hline 35}
 strongly oppose {c |}{res}        134       40.00       40.00
{txt} somewhat oppose {c |}{res}         56       16.72       56.72
{txt}somewhat support {c |}{res}         79       23.58       80.30
{txt}strongly support {c |}{res}         66       19.70      100.00
{txt}{hline 17}{c +}{hline 35}
           Total {c |}{res}        335      100.00
{txt}
{com}. tab supportpride if sarajevocity==1 & treatment2==1

  {txt}RECODE of O_o6 {c |}
 (Do you support {c |}
       or oppose {c |}
 Sarajevo having {c |}
     a gay pride {c |}
         march?) {c |}      Freq.     Percent        Cum.
{hline 17}{c +}{hline 35}
 strongly oppose {c |}{res}        122       30.35       30.35
{txt} somewhat oppose {c |}{res}         72       17.91       48.26
{txt}somewhat support {c |}{res}         93       23.13       71.39
{txt}strongly support {c |}{res}        115       28.61      100.00
{txt}{hline 17}{c +}{hline 35}
           Total {c |}{res}        402      100.00
{txt}
{com}. 
. *Figure 4:  Support for Sarajevo Pride outside Sarajevo Over Time (%)
. tab supportpride if sarajevocity==0 & treatment2==0

  {txt}RECODE of O_o6 {c |}
 (Do you support {c |}
       or oppose {c |}
 Sarajevo having {c |}
     a gay pride {c |}
         march?) {c |}      Freq.     Percent        Cum.
{hline 17}{c +}{hline 35}
 strongly oppose {c |}{res}        559       65.08       65.08
{txt} somewhat oppose {c |}{res}        183       21.30       86.38
{txt}somewhat support {c |}{res}         91       10.59       96.97
{txt}strongly support {c |}{res}         26        3.03      100.00
{txt}{hline 17}{c +}{hline 35}
           Total {c |}{res}        859      100.00
{txt}
{com}. tab supportpride if sarajevocity==0 & treatment2==1

  {txt}RECODE of O_o6 {c |}
 (Do you support {c |}
       or oppose {c |}
 Sarajevo having {c |}
     a gay pride {c |}
         march?) {c |}      Freq.     Percent        Cum.
{hline 17}{c +}{hline 35}
 strongly oppose {c |}{res}        539       64.63       64.63
{txt} somewhat oppose {c |}{res}        200       23.98       88.61
{txt}somewhat support {c |}{res}         75        8.99       97.60
{txt}strongly support {c |}{res}         20        2.40      100.00
{txt}{hline 17}{c +}{hline 35}
           Total {c |}{res}        834      100.00
{txt}
{com}. tab supportpride if sarajevocity==0 & treatment2==2

  {txt}RECODE of O_o6 {c |}
 (Do you support {c |}
       or oppose {c |}
 Sarajevo having {c |}
     a gay pride {c |}
         march?) {c |}      Freq.     Percent        Cum.
{hline 17}{c +}{hline 35}
 strongly oppose {c |}{res}        527       60.37       60.37
{txt} somewhat oppose {c |}{res}        167       19.13       79.50
{txt}somewhat support {c |}{res}        108       12.37       91.87
{txt}strongly support {c |}{res}         71        8.13      100.00
{txt}{hline 17}{c +}{hline 35}
           Total {c |}{res}        873      100.00
{txt}
{com}. 
. *Summary of Variables (pooled data, outside Sarajevo)
. sum supportpride closetogay gayrights dgprogay progayindex2 i.treatment2 eth_frac13 diversity hadcovid diedcovid vaccinated ethnocentric religious voteeu Bosniak Croat Serb Men age Education rural unemployed  rs if sarajevocity==0 & progayindex2~=.

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
supportpride {c |}{res}      2,463    1.566788    .8547576          1          4
{txt}{space 2}closetogay {c |}{res}      2,463    .8375964    1.883167          0         10
{txt}{space 3}gayrights {c |}{res}      2,463    3.207471    3.481002          0         10
{txt}{space 4}dgprogay {c |}{res}      2,463    140.2879     258.446          0       1000
{txt}progayindex2 {c |}{res}      2,463   -7.88e-09    .8257752  -.6981512   3.415579
{txt}{space 12} {c |}
{space 2}treatment2 {c |}
{space 10}1  {c |}{res}      2,463    .3223711    .4674791          0          1
{txt}{space 10}2  {c |}{res}      2,463    .3382054    .4731949          0          1
{txt}{space 12} {c |}
{space 2}eth_frac13 {c |}{res}      2,463    .2633454    .1675923   .0051698   .6582425
{txt}{space 3}diversity {c |}{res}      2,463    .2390533    .2746151          0   .9928057
{txt}{hline 13}{c +}{hline 57}
{space 4}hadcovid {c |}{res}      2,463     .044661    .2066004          0          1
{txt}{space 3}diedcovid {c |}{res}      2,463    .0178644    .1324854          0          1
{txt}{space 2}vaccinated {c |}{res}      2,463    .0592773    .2361909          0          1
{txt}ethnocentric {c |}{res}      2,427    .5801401    .4936375          0          1
{txt}{space 3}religious {c |}{res}      2,439    2.213612    .5938252          1          3
{txt}{hline 13}{c +}{hline 57}
{space 6}voteeu {c |}{res}      2,463    .7523346    .4317441          0          1
{txt}{space 5}Bosniak {c |}{res}      2,463     .498579    .5000995          0          1
{txt}{space 7}Croat {c |}{res}      2,463    .1177426    .3223685          0          1
{txt}{space 8}Serb {c |}{res}      2,463    .3304913    .4704856          0          1
{txt}{space 9}Men {c |}{res}      2,463    .4827446    .4998036          0          1
{txt}{hline 13}{c +}{hline 57}
{space 9}age {c |}{res}      2,463    46.12383    16.44585         18         93
{txt}{space 3}Education {c |}{res}      2,462    5.611292    1.899016          1         11
{txt}{space 7}rural {c |}{res}      2,463    1.558262    .4966947          1          2
{txt}{space 2}unemployed {c |}{res}      2,463    .2078766    .4058704          0          1
{txt}{space 10}rs {c |}{res}      2,463     .363378      .48107          0          1
{txt}
{com}. 
. *LGBT+ Support Index Components (Outside Sarajevo)
. 
. *Support for the Sarajevo Pride Over Time
. tab supportpride if sarajevocity==0 & treatment2==0

  {txt}RECODE of O_o6 {c |}
 (Do you support {c |}
       or oppose {c |}
 Sarajevo having {c |}
     a gay pride {c |}
         march?) {c |}      Freq.     Percent        Cum.
{hline 17}{c +}{hline 35}
 strongly oppose {c |}{res}        559       65.08       65.08
{txt} somewhat oppose {c |}{res}        183       21.30       86.38
{txt}somewhat support {c |}{res}         91       10.59       96.97
{txt}strongly support {c |}{res}         26        3.03      100.00
{txt}{hline 17}{c +}{hline 35}
           Total {c |}{res}        859      100.00
{txt}
{com}. tab supportpride if sarajevocity==0 & treatment2==1

  {txt}RECODE of O_o6 {c |}
 (Do you support {c |}
       or oppose {c |}
 Sarajevo having {c |}
     a gay pride {c |}
         march?) {c |}      Freq.     Percent        Cum.
{hline 17}{c +}{hline 35}
 strongly oppose {c |}{res}        539       64.63       64.63
{txt} somewhat oppose {c |}{res}        200       23.98       88.61
{txt}somewhat support {c |}{res}         75        8.99       97.60
{txt}strongly support {c |}{res}         20        2.40      100.00
{txt}{hline 17}{c +}{hline 35}
           Total {c |}{res}        834      100.00
{txt}
{com}. tab supportpride if sarajevocity==0 & treatment2==2

  {txt}RECODE of O_o6 {c |}
 (Do you support {c |}
       or oppose {c |}
 Sarajevo having {c |}
     a gay pride {c |}
         march?) {c |}      Freq.     Percent        Cum.
{hline 17}{c +}{hline 35}
 strongly oppose {c |}{res}        527       60.37       60.37
{txt} somewhat oppose {c |}{res}        167       19.13       79.50
{txt}somewhat support {c |}{res}        108       12.37       91.87
{txt}strongly support {c |}{res}         71        8.13      100.00
{txt}{hline 17}{c +}{hline 35}
           Total {c |}{res}        873      100.00
{txt}
{com}. *(Note: combine strongly and somewhat support/oppose responses)
. 
. *Social Distance to LGBT+ People Over Time
. tab closetogay if sarajevocity==0 & treatment2==0

{txt}recode of O_o2 How {c |}
 close do you feel {c |}
     to homosexual {c |}
           people? {c |}      Freq.     Percent        Cum.
{hline 19}{c +}{hline 35}
  Not close at all {c |}{res}        741       80.11       80.11
{txt}                 1 {c |}{res}         50        5.41       85.51
{txt}                 2 {c |}{res}         26        2.81       88.32
{txt}                 3 {c |}{res}         21        2.27       90.59
{txt}                 4 {c |}{res}         21        2.27       92.86
{txt}                 5 {c |}{res}         30        3.24       96.11
{txt}                 6 {c |}{res}         10        1.08       97.19
{txt}                 7 {c |}{res}         10        1.08       98.27
{txt}                 8 {c |}{res}          5        0.54       98.81
{txt}                 9 {c |}{res}          6        0.65       99.46
{txt}   Extremely close {c |}{res}          5        0.54      100.00
{txt}{hline 19}{c +}{hline 35}
             Total {c |}{res}        925      100.00
{txt}
{com}. tab closetogay if sarajevocity==0 & treatment2==1

{txt}recode of O_o2 How {c |}
 close do you feel {c |}
     to homosexual {c |}
           people? {c |}      Freq.     Percent        Cum.
{hline 19}{c +}{hline 35}
  Not close at all {c |}{res}        708       77.72       77.72
{txt}                 1 {c |}{res}         63        6.92       84.63
{txt}                 2 {c |}{res}         36        3.95       88.58
{txt}                 3 {c |}{res}         26        2.85       91.44
{txt}                 4 {c |}{res}         13        1.43       92.86
{txt}                 5 {c |}{res}         39        4.28       97.15
{txt}                 6 {c |}{res}         10        1.10       98.24
{txt}                 7 {c |}{res}          5        0.55       98.79
{txt}                 8 {c |}{res}         11        1.21      100.00
{txt}{hline 19}{c +}{hline 35}
             Total {c |}{res}        911      100.00
{txt}
{com}. tab closetogay if sarajevocity==0 & treatment2==2

{txt}recode of O_o2 How {c |}
 close do you feel {c |}
     to homosexual {c |}
           people? {c |}      Freq.     Percent        Cum.
{hline 19}{c +}{hline 35}
  Not close at all {c |}{res}        667       74.36       74.36
{txt}                 1 {c |}{res}         39        4.35       78.71
{txt}                 2 {c |}{res}         32        3.57       82.27
{txt}                 3 {c |}{res}         30        3.34       85.62
{txt}                 4 {c |}{res}         29        3.23       88.85
{txt}                 5 {c |}{res}         57        6.35       95.21
{txt}                 6 {c |}{res}         18        2.01       97.21
{txt}                 7 {c |}{res}          7        0.78       97.99
{txt}                 8 {c |}{res}          8        0.89       98.89
{txt}                 9 {c |}{res}          4        0.45       99.33
{txt}   Extremely close {c |}{res}          6        0.67      100.00
{txt}{hline 19}{c +}{hline 35}
             Total {c |}{res}        897      100.00
{txt}
{com}. *(Note: record “not close at all” responses)
. 
. *Opposition to LGBT+ Rights Over Time
. tab gayrights if sarajevocity==0 & treatment2==0

    {txt}RECODE of O_o3 {c |}
(Gays and Lesbians {c |}
 should be free to {c |}
live as they wish) {c |}      Freq.     Percent        Cum.
{hline 19}{c +}{hline 35}
 Strongly disagree {c |}{res}        402       44.18       44.18
{txt}                 1 {c |}{res}         44        4.84       49.01
{txt}                 2 {c |}{res}         55        6.04       55.05
{txt}                 3 {c |}{res}         43        4.73       59.78
{txt}                 4 {c |}{res}         85        9.34       69.12
{txt}                 5 {c |}{res}         50        5.49       74.62
{txt}                 6 {c |}{res}         38        4.18       78.79
{txt}                 7 {c |}{res}         35        3.85       82.64
{txt}                 8 {c |}{res}         27        2.97       85.60
{txt}                 9 {c |}{res}        131       14.40      100.00
{txt}{hline 19}{c +}{hline 35}
             Total {c |}{res}        910      100.00
{txt}
{com}. tab gayrights if sarajevocity==0 & treatment2==1

    {txt}RECODE of O_o3 {c |}
(Gays and Lesbians {c |}
 should be free to {c |}
live as they wish) {c |}      Freq.     Percent        Cum.
{hline 19}{c +}{hline 35}
 Strongly disagree {c |}{res}        389       44.51       44.51
{txt}                 1 {c |}{res}         37        4.23       48.74
{txt}                 2 {c |}{res}         65        7.44       56.18
{txt}                 3 {c |}{res}         63        7.21       63.39
{txt}                 4 {c |}{res}         47        5.38       68.76
{txt}                 5 {c |}{res}         80        9.15       77.92
{txt}                 6 {c |}{res}         33        3.78       81.69
{txt}                 7 {c |}{res}         38        4.35       86.04
{txt}                 8 {c |}{res}         34        3.89       89.93
{txt}                 9 {c |}{res}         13        1.49       91.42
{txt}    Strongly agree {c |}{res}         75        8.58      100.00
{txt}{hline 19}{c +}{hline 35}
             Total {c |}{res}        874      100.00
{txt}
{com}. tab gayrights if sarajevocity==0 & treatment2==2

    {txt}RECODE of O_o3 {c |}
(Gays and Lesbians {c |}
 should be free to {c |}
live as they wish) {c |}      Freq.     Percent        Cum.
{hline 19}{c +}{hline 35}
 Strongly disagree {c |}{res}        283       31.76       31.76
{txt}                 1 {c |}{res}         37        4.15       35.91
{txt}                 2 {c |}{res}         49        5.50       41.41
{txt}                 3 {c |}{res}         60        6.73       48.15
{txt}                 4 {c |}{res}         50        5.61       53.76
{txt}                 5 {c |}{res}        126       14.14       67.90
{txt}                 6 {c |}{res}         35        3.93       71.83
{txt}                 7 {c |}{res}         48        5.39       77.22
{txt}                 8 {c |}{res}         49        5.50       82.72
{txt}                 9 {c |}{res}         21        2.36       85.07
{txt}    Strongly agree {c |}{res}        133       14.93      100.00
{txt}{hline 19}{c +}{hline 35}
             Total {c |}{res}        891      100.00
{txt}
{com}. *(Note: record “strongly disagree” responses)
. 
. *Resource Allocation to Pro LGBT+ Group Over Time 
. tab dgprogay if sarajevocity==0 & treatment2==0

       {txt}O_15 {c |}
    antigay {c |}
   Dictator {c |}
       Game {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        633       66.42       66.42
{txt}          1 {c |}{res}          6        0.63       67.05
{txt}          5 {c |}{res}          1        0.10       67.16
{txt}         10 {c |}{res}          2        0.21       67.37
{txt}         20 {c |}{res}          1        0.10       67.47
{txt}         50 {c |}{res}          6        0.63       68.10
{txt}         80 {c |}{res}          1        0.10       68.21
{txt}        100 {c |}{res}         30        3.15       71.35
{txt}        150 {c |}{res}          5        0.52       71.88
{txt}        200 {c |}{res}         26        2.73       74.61
{txt}        300 {c |}{res}         14        1.47       76.08
{txt}        350 {c |}{res}          1        0.10       76.18
{txt}        400 {c |}{res}          6        0.63       76.81
{txt}        500 {c |}{res}        171       17.94       94.75
{txt}        600 {c |}{res}          6        0.63       95.38
{txt}        700 {c |}{res}          7        0.73       96.12
{txt}        800 {c |}{res}          5        0.52       96.64
{txt}        900 {c |}{res}          4        0.42       97.06
{txt}        999 {c |}{res}          2        0.21       97.27
{txt}       1000 {c |}{res}         26        2.73      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        953      100.00
{txt}
{com}. tab dgprogay if sarajevocity==0 & treatment2==1

       {txt}O_15 {c |}
    antigay {c |}
   Dictator {c |}
       Game {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        638       67.73       67.73
{txt}          1 {c |}{res}          9        0.96       68.68
{txt}          2 {c |}{res}          1        0.11       68.79
{txt}          5 {c |}{res}          2        0.21       69.00
{txt}         10 {c |}{res}          6        0.64       69.64
{txt}         15 {c |}{res}          1        0.11       69.75
{txt}         20 {c |}{res}          1        0.11       69.85
{txt}         50 {c |}{res}          8        0.85       70.70
{txt}        100 {c |}{res}         31        3.29       73.99
{txt}        200 {c |}{res}         30        3.18       77.18
{txt}        250 {c |}{res}          1        0.11       77.28
{txt}        300 {c |}{res}         22        2.34       79.62
{txt}        400 {c |}{res}         12        1.27       80.89
{txt}        500 {c |}{res}        146       15.50       96.39
{txt}        600 {c |}{res}          7        0.74       97.13
{txt}        700 {c |}{res}          3        0.32       97.45
{txt}        800 {c |}{res}          4        0.42       97.88
{txt}        900 {c |}{res}          2        0.21       98.09
{txt}       1000 {c |}{res}         18        1.91      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        942      100.00
{txt}
{com}. tab dgprogay if sarajevocity==0 & treatment2==2

       {txt}O_15 {c |}
    antigay {c |}
   Dictator {c |}
       Game {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        583       62.69       62.69
{txt}          1 {c |}{res}          9        0.97       63.66
{txt}          2 {c |}{res}          1        0.11       63.76
{txt}          5 {c |}{res}          3        0.32       64.09
{txt}         10 {c |}{res}          3        0.32       64.41
{txt}         20 {c |}{res}          1        0.11       64.52
{txt}         40 {c |}{res}          1        0.11       64.62
{txt}         50 {c |}{res}          8        0.86       65.48
{txt}        100 {c |}{res}         38        4.09       69.57
{txt}        150 {c |}{res}          1        0.11       69.68
{txt}        200 {c |}{res}         14        1.51       71.18
{txt}        300 {c |}{res}          8        0.86       72.04
{txt}        350 {c |}{res}          1        0.11       72.15
{txt}        400 {c |}{res}         16        1.72       73.87
{txt}        500 {c |}{res}        174       18.71       92.58
{txt}        600 {c |}{res}          3        0.32       92.90
{txt}        700 {c |}{res}          8        0.86       93.76
{txt}        800 {c |}{res}          7        0.75       94.52
{txt}        900 {c |}{res}          5        0.54       95.05
{txt}        980 {c |}{res}          1        0.11       95.16
{txt}       1000 {c |}{res}         45        4.84      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        930      100.00
{txt}
{com}. *(Note: summarize responses <500, 500, and >500 MK)
. 
. *Figure 9:
. twoway histogram supportpride if sarajevocity==0, percent discrete by(treatment2)
{res}{txt}
{com}. 
. *Figure 10:
. twoway histogram closetogay if sarajevocity==0, percent by(treatment2)
{res}{txt}
{com}. 
. *Figure 11: 
. twoway histogram gayrights if sarajevocity==0, percent by(treatment2)
{res}{txt}
{com}. 
. *Figure 12:
. twoway histogram dgprogay if sarajevocity==0, percent by(treatment2)
{res}{txt}
{com}. 
. *Factor Analysis of LGBT+ Support Index (Dependent Variable)
. factor supportpride closetogay gayrights dgprogay if sarajevocity==0
{txt}(obs=2,463)

Factor analysis/correlation{col 50}Number of obs    = {res}     2,463
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       4

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.45345      1.49054            1.3121       1.3121
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.03709      0.06503           -0.0335       1.2787
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.10212      0.10444           -0.0922       1.1865
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}     -0.20655            .           -0.1865       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}6{txt})  ={res} 1900.09{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:supportpride}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6740}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5457}}}{space 1}
{space 4}{space 0}{ralign 12:closetogay}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4446}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.8024}}}{space 1}
{space 4}{space 0}{ralign 12:gayrights}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5469}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7008}}}{space 1}
{space 4}{space 0}{ralign 12:dgprogay}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7088}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4976}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. *use predict command to generate dgprogayindex2 (aldready generated)
. *Note(we create a similar index called dgprogayindex which includes data from Sarajevo)
. *use the 'norm' module package by Ansari and Mussida in STATA to normalize the index with the command 'norm progayindex2, method(mmx)' (already generated)
. 
. *LGBT+ Support Kernel Density Plot
. kdensity progayindex2 if sarajevocity==0
{res}{txt}
{com}. 
. *Manuscript Table 1 Robustness Checks
. 
. *Table 3:  Change in LGBT+ Support Over Time Outside Sarajevo (OLS Regression)
. reg mmx_progayindex2 i.treatment2 if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,463
                                                {txt}F(2, 93)          =  {res}     5.35
                                                {txt}Prob > F          = {res}    0.0063
                                                {txt}R-squared         = {res}    0.0165
                                                {txt}Root MSE          =    {res} .19915

{txt}{ralign 78:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mmx_progay~2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.011895{col 26}{space 2} .0150759{col 37}{space 1}   -0.79{col 46}{space 3}0.432{col 54}{space 4}-.0418329{col 67}{space 3} .0180428
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .047801{col 26}{space 2} .0165617{col 37}{space 1}    2.89{col 46}{space 3}0.005{col 54}{space 4} .0149128{col 67}{space 3} .0806893
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .1573805{col 26}{space 2} .0123063{col 37}{space 1}   12.79{col 46}{space 3}0.000{col 54}{space 4} .1329427{col 67}{space 3} .1818183
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg mmx_progayindex2 i.treatment2##c.eth_frac13 voteeu ethnocentric religious  if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,403
                                                {txt}F(8, 93)          =  {res}    10.22
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0449
                                                {txt}Root MSE          =    {res} .19688

{txt}{ralign 89:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       mmx_progayindex2{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}treatment2 {c |}
{space 21}1  {c |}{col 25}{res}{space 2} -.050622{col 37}{space 2} .0253182{col 48}{space 1}   -2.00{col 57}{space 3}0.048{col 65}{space 4} -.100899{col 78}{space 3}-.0003451
{txt}{space 21}2  {c |}{col 25}{res}{space 2}-.0142666{col 37}{space 2}   .02778{col 48}{space 1}   -0.51{col 57}{space 3}0.609{col 65}{space 4}-.0694322{col 78}{space 3}  .040899
{txt}{space 23} {c |}
{space 13}eth_frac13 {c |}{col 25}{res}{space 2}-.0969297{col 37}{space 2} .0576654{col 48}{space 1}   -1.68{col 57}{space 3}0.096{col 65}{space 4}-.2114416{col 78}{space 3} .0175823
{txt}{space 23} {c |}
treatment2#c.eth_frac13 {c |}
{space 21}1  {c |}{col 25}{res}{space 2} .1830363{col 37}{space 2} .0814963{col 48}{space 1}    2.25{col 57}{space 3}0.027{col 65}{space 4} .0212008{col 78}{space 3} .3448717
{txt}{space 21}2  {c |}{col 25}{res}{space 2} .2521099{col 37}{space 2} .0808039{col 48}{space 1}    3.12{col 57}{space 3}0.002{col 65}{space 4} .0916494{col 78}{space 3} .4125704
{txt}{space 23} {c |}
{space 17}voteeu {c |}{col 25}{res}{space 2}  .030509{col 37}{space 2} .0115881{col 48}{space 1}    2.63{col 57}{space 3}0.010{col 65}{space 4} .0074974{col 78}{space 3} .0535206
{txt}{space 11}ethnocentric {c |}{col 25}{res}{space 2}-.0377598{col 37}{space 2} .0123879{col 48}{space 1}   -3.05{col 57}{space 3}0.003{col 65}{space 4}-.0623596{col 78}{space 3}  -.01316
{txt}{space 14}religious {c |}{col 25}{res}{space 2}-.0236428{col 37}{space 2} .0074502{col 48}{space 1}   -3.17{col 57}{space 3}0.002{col 65}{space 4}-.0384374{col 78}{space 3}-.0088481
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .2300939{col 37}{space 2} .0292005{col 48}{space 1}    7.88{col 57}{space 3}0.000{col 65}{space 4} .1721075{col 78}{space 3} .2880802
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg mmx_progayindex2 i.treatment2##c.eth_frac13  voteeu ethnocentric religious hadcovid diedcovid vaccinated Bosniak Croat Serb Men age Education rural unemployed  rs if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,402
                                                {txt}F(20, 93)         =  {res}     9.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0937
                                                {txt}Root MSE          =    {res} .19227

{txt}{ralign 89:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       mmx_progayindex2{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}treatment2 {c |}
{space 21}1  {c |}{col 25}{res}{space 2}-.0416831{col 37}{space 2} .0254181{col 48}{space 1}   -1.64{col 57}{space 3}0.104{col 65}{space 4}-.0921583{col 78}{space 3} .0087922
{txt}{space 21}2  {c |}{col 25}{res}{space 2}-.0189691{col 37}{space 2}   .02754{col 48}{space 1}   -0.69{col 57}{space 3}0.493{col 65}{space 4} -.073658{col 78}{space 3} .0357198
{txt}{space 23} {c |}
{space 13}eth_frac13 {c |}{col 25}{res}{space 2}-.0990673{col 37}{space 2} .0581722{col 48}{space 1}   -1.70{col 57}{space 3}0.092{col 65}{space 4}-.2145857{col 78}{space 3} .0164511
{txt}{space 23} {c |}
treatment2#c.eth_frac13 {c |}
{space 21}1  {c |}{col 25}{res}{space 2} .1620934{col 37}{space 2} .0838075{col 48}{space 1}    1.93{col 57}{space 3}0.056{col 65}{space 4}-.0043317{col 78}{space 3} .3285184
{txt}{space 21}2  {c |}{col 25}{res}{space 2} .2408764{col 37}{space 2} .0806505{col 48}{space 1}    2.99{col 57}{space 3}0.004{col 65}{space 4} .0807205{col 78}{space 3} .4010323
{txt}{space 23} {c |}
{space 17}voteeu {c |}{col 25}{res}{space 2} .0338806{col 37}{space 2} .0112798{col 48}{space 1}    3.00{col 57}{space 3}0.003{col 65}{space 4} .0114812{col 78}{space 3} .0562799
{txt}{space 11}ethnocentric {c |}{col 25}{res}{space 2}-.0372448{col 37}{space 2} .0112041{col 48}{space 1}   -3.32{col 57}{space 3}0.001{col 65}{space 4} -.059494{col 78}{space 3}-.0149956
{txt}{space 14}religious {c |}{col 25}{res}{space 2}-.0214459{col 37}{space 2} .0074455{col 48}{space 1}   -2.88{col 57}{space 3}0.005{col 65}{space 4}-.0362312{col 78}{space 3}-.0066607
{txt}{space 15}hadcovid {c |}{col 25}{res}{space 2} .0228274{col 37}{space 2} .0253287{col 48}{space 1}    0.90{col 57}{space 3}0.370{col 65}{space 4}-.0274703{col 78}{space 3} .0731252
{txt}{space 14}diedcovid {c |}{col 25}{res}{space 2} .1587127{col 37}{space 2} .0637494{col 48}{space 1}    2.49{col 57}{space 3}0.015{col 65}{space 4} .0321191{col 78}{space 3} .2853064
{txt}{space 13}vaccinated {c |}{col 25}{res}{space 2}-.0055457{col 37}{space 2} .0198556{col 48}{space 1}   -0.28{col 57}{space 3}0.781{col 65}{space 4} -.044975{col 78}{space 3} .0338835
{txt}{space 16}Bosniak {c |}{col 25}{res}{space 2}-.0329091{col 37}{space 2} .0348234{col 48}{space 1}   -0.95{col 57}{space 3}0.347{col 65}{space 4}-.1020615{col 78}{space 3} .0362434
{txt}{space 18}Croat {c |}{col 25}{res}{space 2} .0039772{col 37}{space 2} .0393991{col 48}{space 1}    0.10{col 57}{space 3}0.920{col 65}{space 4}-.0742617{col 78}{space 3}  .082216
{txt}{space 19}Serb {c |}{col 25}{res}{space 2}-.0453784{col 37}{space 2} .0375769{col 48}{space 1}   -1.21{col 57}{space 3}0.230{col 65}{space 4}-.1199987{col 78}{space 3} .0292419
{txt}{space 20}Men {c |}{col 25}{res}{space 2}-.0407546{col 37}{space 2} .0093401{col 48}{space 1}   -4.36{col 57}{space 3}0.000{col 65}{space 4}-.0593022{col 78}{space 3} -.022207
{txt}{space 20}age {c |}{col 25}{res}{space 2}-.0006038{col 37}{space 2} .0002831{col 48}{space 1}   -2.13{col 57}{space 3}0.036{col 65}{space 4} -.001166{col 78}{space 3}-.0000415
{txt}{space 14}Education {c |}{col 25}{res}{space 2} .0125833{col 37}{space 2} .0029775{col 48}{space 1}    4.23{col 57}{space 3}0.000{col 65}{space 4} .0066705{col 78}{space 3} .0184961
{txt}{space 18}rural {c |}{col 25}{res}{space 2}-.0183631{col 37}{space 2} .0132512{col 48}{space 1}   -1.39{col 57}{space 3}0.169{col 65}{space 4}-.0446773{col 78}{space 3} .0079512
{txt}{space 13}unemployed {c |}{col 25}{res}{space 2}-.0043696{col 37}{space 2} .0101694{col 48}{space 1}   -0.43{col 57}{space 3}0.668{col 65}{space 4} -.024564{col 78}{space 3} .0158249
{txt}{space 21}rs {c |}{col 25}{res}{space 2} .0160025{col 37}{space 2}  .017175{col 48}{space 1}    0.93{col 57}{space 3}0.354{col 65}{space 4}-.0181035{col 78}{space 3} .0501086
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .2527003{col 37}{space 2} .0545226{col 48}{space 1}    4.63{col 57}{space 3}0.000{col 65}{space 4} .1444293{col 78}{space 3} .3609713
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Table 4. Change in LGBT+ Support Over Time Outside Sarajevo (Poisson Regression)
. poisson mmx_progayindex2 i.treatment2 if sarajevocity==0, robust
{txt}note: you are responsible for interpretation of noncount dep. variable
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1027.1646}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1027.1646}  
{res}
{txt}Poisson regression{col 49}Number of obs{col 67}= {res}     2,463
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}     41.87
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1027.1646{txt}{col 49}Pseudo R2{col 67}= {res}    0.0046

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}mmx_progayindex2{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}treatment2 {c |}
{space 14}1  {c |}{col 18}{res}{space 2}-.0785903{col 30}{space 2} .0613012{col 41}{space 1}   -1.28{col 50}{space 3}0.200{col 58}{space 4}-.1987384{col 71}{space 3} .0415578
{txt}{space 14}2  {c |}{col 18}{res}{space 2} .2652288{col 30}{space 2} .0570592{col 41}{space 1}    4.65{col 50}{space 3}0.000{col 58}{space 4} .1533947{col 71}{space 3} .3770628
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-1.849089{col 30}{space 2} .0434437{col 41}{space 1}  -42.56{col 50}{space 3}0.000{col 58}{space 4}-1.934237{col 71}{space 3}-1.763941
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. poisson mmx_progayindex2 i.treatment2##c.eth_frac13 voteeu ethnocentric religious if sarajevocity==0, robust
{txt}note: you are responsible for interpretation of noncount dep. variable
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-997.96174}  
Iteration 1:{space 3}log pseudolikelihood = {res:-997.96169}  
{res}
{txt}Poisson regression{col 49}Number of obs{col 67}= {res}     2,403
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}    133.49
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-997.96169{txt}{col 49}Pseudo R2{col 67}= {res}    0.0123

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       mmx_progayindex2{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}treatment2 {c |}
{space 21}1  {c |}{col 25}{res}{space 2}-.3437962{col 37}{space 2}  .112559{col 48}{space 1}   -3.05{col 57}{space 3}0.002{col 65}{space 4}-.5644077{col 78}{space 3}-.1231847
{txt}{space 21}2  {c |}{col 25}{res}{space 2}-.0746968{col 37}{space 2} .1037083{col 48}{space 1}   -0.72{col 57}{space 3}0.471{col 65}{space 4}-.2779613{col 78}{space 3} .1285677
{txt}{space 23} {c |}
{space 13}eth_frac13 {c |}{col 25}{res}{space 2}-.6397083{col 37}{space 2} .2472576{col 48}{space 1}   -2.59{col 57}{space 3}0.010{col 65}{space 4}-1.124324{col 78}{space 3}-.1550922
{txt}{space 23} {c |}
treatment2#c.eth_frac13 {c |}
{space 21}1  {c |}{col 25}{res}{space 2} 1.229876{col 37}{space 2} .3625774{col 48}{space 1}    3.39{col 57}{space 3}0.001{col 65}{space 4} .5192376{col 78}{space 3} 1.940515
{txt}{space 21}2  {c |}{col 25}{res}{space 2} 1.376787{col 37}{space 2} .3141221{col 48}{space 1}    4.38{col 57}{space 3}0.000{col 65}{space 4} .7611189{col 78}{space 3} 1.992455
{txt}{space 23} {c |}
{space 17}voteeu {c |}{col 25}{res}{space 2} .1852095{col 37}{space 2} .0576538{col 48}{space 1}    3.21{col 57}{space 3}0.001{col 65}{space 4} .0722102{col 78}{space 3} .2982088
{txt}{space 11}ethnocentric {c |}{col 25}{res}{space 2}-.2192262{col 37}{space 2} .0477841{col 48}{space 1}   -4.59{col 57}{space 3}0.000{col 65}{space 4}-.3128812{col 78}{space 3}-.1255711
{txt}{space 14}religious {c |}{col 25}{res}{space 2}-.1354982{col 37}{space 2} .0385605{col 48}{space 1}   -3.51{col 57}{space 3}0.000{col 65}{space 4}-.2110755{col 78}{space 3} -.059921
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-1.434885{col 37}{space 2} .1223503{col 48}{space 1}  -11.73{col 57}{space 3}0.000{col 65}{space 4}-1.674687{col 78}{space 3}-1.195083
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. poisson mmx_progayindex2 i.treatment2##c.eth_frac13 voteeu ethnocentric religious  hadcovid diedcovid vaccinated  Bosniak Croat Serb Men age Education rural unemployed  rs if sarajevocity==0, robust
{txt}note: you are responsible for interpretation of noncount dep. variable
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-985.08077}  
Iteration 1:{space 3}log pseudolikelihood = {res:-985.04529}  
Iteration 2:{space 3}log pseudolikelihood = {res:-985.04526}  
{res}
{txt}Poisson regression{col 49}Number of obs{col 67}= {res}     2,402
{txt}{col 49}Wald chi2({res}20{txt}){col 67}= {res}    275.99
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-985.04526{txt}{col 49}Pseudo R2{col 67}= {res}    0.0250

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       mmx_progayindex2{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}treatment2 {c |}
{space 21}1  {c |}{col 25}{res}{space 2}-.2913271{col 37}{space 2} .1105287{col 48}{space 1}   -2.64{col 57}{space 3}0.008{col 65}{space 4}-.5079593{col 78}{space 3}-.0746949
{txt}{space 21}2  {c |}{col 25}{res}{space 2}-.0956784{col 37}{space 2}  .106006{col 48}{space 1}   -0.90{col 57}{space 3}0.367{col 65}{space 4}-.3034464{col 78}{space 3} .1120896
{txt}{space 23} {c |}
{space 13}eth_frac13 {c |}{col 25}{res}{space 2}-.6698426{col 37}{space 2} .2461244{col 48}{space 1}   -2.72{col 57}{space 3}0.006{col 65}{space 4}-1.152238{col 78}{space 3}-.1874476
{txt}{space 23} {c |}
treatment2#c.eth_frac13 {c |}
{space 21}1  {c |}{col 25}{res}{space 2} 1.104956{col 37}{space 2} .3575693{col 48}{space 1}    3.09{col 57}{space 3}0.002{col 65}{space 4} .4041334{col 78}{space 3} 1.805779
{txt}{space 21}2  {c |}{col 25}{res}{space 2} 1.348937{col 37}{space 2} .3174392{col 48}{space 1}    4.25{col 57}{space 3}0.000{col 65}{space 4}  .726768{col 78}{space 3} 1.971107
{txt}{space 23} {c |}
{space 17}voteeu {c |}{col 25}{res}{space 2} .2038104{col 37}{space 2} .0596511{col 48}{space 1}    3.42{col 57}{space 3}0.001{col 65}{space 4} .0868963{col 78}{space 3} .3207245
{txt}{space 11}ethnocentric {c |}{col 25}{res}{space 2}-.2238598{col 37}{space 2} .0473565{col 48}{space 1}   -4.73{col 57}{space 3}0.000{col 65}{space 4}-.3166768{col 78}{space 3}-.1310428
{txt}{space 14}religious {c |}{col 25}{res}{space 2}-.1221947{col 37}{space 2} .0383457{col 48}{space 1}   -3.19{col 57}{space 3}0.001{col 65}{space 4}-.1973509{col 78}{space 3}-.0470384
{txt}{space 15}hadcovid {c |}{col 25}{res}{space 2} .0894543{col 37}{space 2} .0962154{col 48}{space 1}    0.93{col 57}{space 3}0.353{col 65}{space 4}-.0991244{col 78}{space 3} .2780331
{txt}{space 14}diedcovid {c |}{col 25}{res}{space 2} .5534877{col 37}{space 2} .1447482{col 48}{space 1}    3.82{col 57}{space 3}0.000{col 65}{space 4} .2697865{col 78}{space 3}  .837189
{txt}{space 13}vaccinated {c |}{col 25}{res}{space 2}-.0441101{col 37}{space 2}  .106162{col 48}{space 1}   -0.42{col 57}{space 3}0.678{col 65}{space 4}-.2521837{col 78}{space 3} .1639635
{txt}{space 16}Bosniak {c |}{col 25}{res}{space 2}-.1788127{col 37}{space 2}  .112582{col 48}{space 1}   -1.59{col 57}{space 3}0.112{col 65}{space 4}-.3994694{col 78}{space 3}  .041844
{txt}{space 18}Croat {c |}{col 25}{res}{space 2} .0247358{col 37}{space 2} .1224158{col 48}{space 1}    0.20{col 57}{space 3}0.840{col 65}{space 4}-.2151948{col 78}{space 3} .2646663
{txt}{space 19}Serb {c |}{col 25}{res}{space 2}-.2490157{col 37}{space 2} .1321427{col 48}{space 1}   -1.88{col 57}{space 3}0.060{col 65}{space 4}-.5080107{col 78}{space 3} .0099792
{txt}{space 20}Men {c |}{col 25}{res}{space 2}-.2369869{col 37}{space 2} .0472052{col 48}{space 1}   -5.02{col 57}{space 3}0.000{col 65}{space 4}-.3295075{col 78}{space 3}-.1444664
{txt}{space 20}age {c |}{col 25}{res}{space 2}-.0039556{col 37}{space 2} .0015768{col 48}{space 1}   -2.51{col 57}{space 3}0.012{col 65}{space 4}-.0070462{col 78}{space 3} -.000865
{txt}{space 14}Education {c |}{col 25}{res}{space 2} .0743224{col 37}{space 2}  .013246{col 48}{space 1}    5.61{col 57}{space 3}0.000{col 65}{space 4} .0483608{col 78}{space 3}  .100284
{txt}{space 18}rural {c |}{col 25}{res}{space 2}-.1077182{col 37}{space 2} .0484281{col 48}{space 1}   -2.22{col 57}{space 3}0.026{col 65}{space 4}-.2026356{col 78}{space 3}-.0128009
{txt}{space 13}unemployed {c |}{col 25}{res}{space 2}-.0228827{col 37}{space 2} .0591128{col 48}{space 1}   -0.39{col 57}{space 3}0.699{col 65}{space 4}-.1387417{col 78}{space 3} .0929762
{txt}{space 21}rs {c |}{col 25}{res}{space 2} .0888203{col 37}{space 2} .0778916{col 48}{space 1}    1.14{col 57}{space 3}0.254{col 65}{space 4}-.0638445{col 78}{space 3} .2414851
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-1.315423{col 37}{space 2} .2157006{col 48}{space 1}   -6.10{col 57}{space 3}0.000{col 65}{space 4}-1.738188{col 78}{space 3}-.8926573
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Table 5. Change in LGBT+ Support Over Time Outside Sarajevo (Fixed Effects, OLS)
. xtset municipality
{txt}{col 8}panel variable:  {res}municipality (unbalanced)
{txt}
{com}. xtreg progayindex2 i.treatment2  if sarajevocity==0, fe robust
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,463
{txt}Group variable: {res}municipality{txt}{col 49}Number of groups{col 67}={col 69}{res}        94

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0247{col 63}{txt}min{col 67}={col 69}{res}         4
{txt}     between = {res}0.0028{col 63}{txt}avg{col 67}={col 69}{res}      26.2
{txt}     overall = {res}0.0165{col 63}{txt}max{col 67}={col 69}{res}       132

{txt}{col 49}F({res}2{txt},{res}93{txt}){col 67}={col 70}{res}     8.07
{txt}corr(u_i, Xb){col 16}= {res}-0.0873{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0006

{txt}{ralign 78:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0496442{col 26}{space 2}  .060459{col 37}{space 1}   -0.82{col 46}{space 3}0.414{col 54}{space 4}-.1697038{col 67}{space 3} .0704155
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2552923{col 26}{space 2} .0674233{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4}  .121403{col 67}{space 3} .3891816
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.0703374{col 26}{space 2} .0319379{col 37}{space 1}   -2.20{col 46}{space 3}0.030{col 54}{space 4}-.1337597{col 67}{space 3}-.0069151
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .37123933
     {txt}sigma_e {c |} {res} .77081668
         {txt}rho {c |} {res} .18828275{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. xtreg progayindex2 i.treatment2  hadcovid diedcovid vaccinated ethnocentric religious voteeu Bosniak Croat Serb Men age Education rural unemployed  rs if sarajevocity==0, fe robust
{p 0 6 2}{txt}note: rs omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     2,402
{txt}Group variable: {res}municipality{txt}{col 49}Number of groups{col 67}={col 69}{res}        94

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.0880{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0282{col 63}{txt}avg{col 67}={col 69}{res}      25.6
{txt}     overall = {res}0.0816{col 63}{txt}max{col 67}={col 69}{res}       127

{txt}{col 49}F({res}16{txt},{res}93{txt}){col 67}={col 70}{res}     7.75
{txt}corr(u_i, Xb){col 16}= {res}-0.0357{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0026114{col 26}{space 2} .0643046{col 37}{space 1}    0.04{col 46}{space 3}0.968{col 54}{space 4}-.1250848{col 67}{space 3} .1303075
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2563658{col 26}{space 2} .0653739{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} .1265462{col 67}{space 3} .3861854
{txt}{space 12} {c |}
{space 4}hadcovid {c |}{col 14}{res}{space 2} .0356292{col 26}{space 2} .0974022{col 37}{space 1}    0.37{col 46}{space 3}0.715{col 54}{space 4}-.1577922{col 67}{space 3} .2290507
{txt}{space 3}diedcovid {c |}{col 14}{res}{space 2} .5866518{col 26}{space 2} .2531165{col 37}{space 1}    2.32{col 46}{space 3}0.023{col 54}{space 4} .0840127{col 67}{space 3} 1.089291
{txt}{space 2}vaccinated {c |}{col 14}{res}{space 2} -.048409{col 26}{space 2} .0744246{col 37}{space 1}   -0.65{col 46}{space 3}0.517{col 54}{space 4}-.1962014{col 67}{space 3} .0993834
{txt}ethnocentric {c |}{col 14}{res}{space 2}-.1411552{col 26}{space 2} .0445471{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-.2296169{col 67}{space 3}-.0526934
{txt}{space 3}religious {c |}{col 14}{res}{space 2}-.0876898{col 26}{space 2}  .030764{col 37}{space 1}   -2.85{col 46}{space 3}0.005{col 54}{space 4} -.148781{col 67}{space 3}-.0265985
{txt}{space 6}voteeu {c |}{col 14}{res}{space 2}  .127358{col 26}{space 2} .0496258{col 37}{space 1}    2.57{col 46}{space 3}0.012{col 54}{space 4} .0288109{col 67}{space 3}  .225905
{txt}{space 5}Bosniak {c |}{col 14}{res}{space 2}-.2055543{col 26}{space 2} .1290495{col 37}{space 1}   -1.59{col 46}{space 3}0.115{col 54}{space 4}-.4618209{col 67}{space 3} .0507123
{txt}{space 7}Croat {c |}{col 14}{res}{space 2}-.0288776{col 26}{space 2} .1561136{col 37}{space 1}   -0.18{col 46}{space 3}0.854{col 54}{space 4}-.3388881{col 67}{space 3}  .281133
{txt}{space 8}Serb {c |}{col 14}{res}{space 2}-.1311697{col 26}{space 2} .1360582{col 37}{space 1}   -0.96{col 46}{space 3}0.338{col 54}{space 4}-.4013544{col 67}{space 3} .1390149
{txt}{space 9}Men {c |}{col 14}{res}{space 2}-.1718543{col 26}{space 2} .0370103{col 37}{space 1}   -4.64{col 46}{space 3}0.000{col 54}{space 4}-.2453494{col 67}{space 3}-.0983591
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0020212{col 26}{space 2} .0012024{col 37}{space 1}   -1.68{col 46}{space 3}0.096{col 54}{space 4} -.004409{col 67}{space 3} .0003666
{txt}{space 3}Education {c |}{col 14}{res}{space 2}  .049799{col 26}{space 2} .0119811{col 37}{space 1}    4.16{col 46}{space 3}0.000{col 54}{space 4} .0260069{col 67}{space 3}  .073591
{txt}{space 7}rural {c |}{col 14}{res}{space 2} -.088753{col 26}{space 2} .0657381{col 37}{space 1}   -1.35{col 46}{space 3}0.180{col 54}{space 4} -.219296{col 67}{space 3} .0417899
{txt}{space 2}unemployed {c |}{col 14}{res}{space 2}-.0045889{col 26}{space 2} .0350744{col 37}{space 1}   -0.13{col 46}{space 3}0.896{col 54}{space 4}-.0742397{col 67}{space 3}  .065062
{txt}{space 10}rs {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2} .2734307{col 26}{space 2} .1607768{col 37}{space 1}    1.70{col 46}{space 3}0.092{col 54}{space 4}-.0458401{col 67}{space 3} .5927015
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .36593509
     {txt}sigma_e {c |} {res} .74811997
         {txt}rho {c |} {res} .19306522{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. *Table 6. Change in LGBT+ Support Over Time Outside Sarajevo (Fixed Effects, Poisson Regression)
. xtpoisson mmx_progayindex2 i.treatment2  if sarajevocity==0, fe robust
{txt}note: you are responsible for interpretation of non-count dep. variable
note: 1 group (8 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -852.1194}  
Iteration 1:{space 3}log pseudolikelihood = {res:-846.24433}  
Iteration 2:{space 3}log pseudolikelihood = {res:-846.22798}  
Iteration 3:{space 3}log pseudolikelihood = {res:-846.22798}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}     2,455
{txt}Group variable: {res}municipality{col 49}{txt}Number of groups{col 67}={col 69}{res}        93

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      26.4
{txt}{col 63}max{col 67}={col 69}{res}       132

{txt}{col 49}Wald chi2({res}2{txt}){col 67}={col 70}{res}    18.57
{txt}Log pseudolikelihood  = {res}-846.22798{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0001

{txt}{ralign 82:(Std. Err. adjusted for clustering on municipality)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}mmx_progayindex2{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}treatment2 {c |}
{space 14}1  {c |}{col 18}{res}{space 2}-.0736279{col 30}{space 2} .0931141{col 41}{space 1}   -0.79{col 50}{space 3}0.429{col 58}{space 4}-.2561283{col 71}{space 3} .1088725
{txt}{space 14}2  {c |}{col 18}{res}{space 2} .3393986{col 30}{space 2} .0861469{col 41}{space 1}    3.94{col 50}{space 3}0.000{col 58}{space 4} .1705538{col 71}{space 3} .5082433
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. xtpoisson mmx_progayindex2 i.treatment2  hadcovid diedcovid vaccinated ethnocentric religious voteeu Bosniak Croat Serb Men age Education rural unemployed  rs if sarajevocity==0, fe robust
{txt}note: you are responsible for interpretation of non-count dep. variable
note: 1 group (1 obs) dropped because of only one obs per group
note: 1 group (8 obs) dropped because of all zero outcomes
note: rs dropped because it is constant within group
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-831.83522}  
Iteration 1:{space 3}log pseudolikelihood = {res:-811.98285}  
Iteration 2:{space 3}log pseudolikelihood = {res:-811.57728}  
Iteration 3:{space 3}log pseudolikelihood = {res:-811.57627}  
Iteration 4:{space 3}log pseudolikelihood = {res:-811.57627}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}     2,393
{txt}Group variable: {res}municipality{col 49}{txt}Number of groups{col 67}={col 69}{res}        92

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      26.0
{txt}{col 63}max{col 67}={col 69}{res}       127

{txt}{col 49}Wald chi2({res}16{txt}){col 67}={col 70}{res}   253.18
{txt}Log pseudolikelihood  = {res}-811.57627{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{ralign 82:(Std. Err. adjusted for clustering on municipality)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}mmx_progayindex2{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}treatment2 {c |}
{space 14}1  {c |}{col 18}{res}{space 2}  .001074{col 30}{space 2} .0960784{col 41}{space 1}    0.01{col 50}{space 3}0.991{col 58}{space 4}-.1872362{col 71}{space 3} .1893843
{txt}{space 14}2  {c |}{col 18}{res}{space 2}  .359132{col 30}{space 2} .0857051{col 41}{space 1}    4.19{col 50}{space 3}0.000{col 58}{space 4} .1911531{col 71}{space 3} .5271109
{txt}{space 16} {c |}
{space 8}hadcovid {c |}{col 18}{res}{space 2} .0085211{col 30}{space 2} .0979935{col 41}{space 1}    0.09{col 50}{space 3}0.931{col 58}{space 4}-.1835426{col 71}{space 3} .2005848
{txt}{space 7}diedcovid {c |}{col 18}{res}{space 2} .4675794{col 30}{space 2} .1679671{col 41}{space 1}    2.78{col 50}{space 3}0.005{col 58}{space 4}   .13837{col 71}{space 3} .7967888
{txt}{space 6}vaccinated {c |}{col 18}{res}{space 2}-.0494469{col 30}{space 2} .0884306{col 41}{space 1}   -0.56{col 50}{space 3}0.576{col 58}{space 4}-.2227677{col 71}{space 3} .1238739
{txt}{space 4}ethnocentric {c |}{col 18}{res}{space 2}-.2104332{col 30}{space 2} .0546679{col 41}{space 1}   -3.85{col 50}{space 3}0.000{col 58}{space 4}-.3175804{col 71}{space 3}-.1032861
{txt}{space 7}religious {c |}{col 18}{res}{space 2}-.1173027{col 30}{space 2}  .040726{col 41}{space 1}   -2.88{col 50}{space 3}0.004{col 58}{space 4}-.1971241{col 71}{space 3}-.0374813
{txt}{space 10}voteeu {c |}{col 18}{res}{space 2} .1864852{col 30}{space 2} .0710952{col 41}{space 1}    2.62{col 50}{space 3}0.009{col 58}{space 4} .0471412{col 71}{space 3} .3258292
{txt}{space 9}Bosniak {c |}{col 18}{res}{space 2}-.3020032{col 30}{space 2} .1331171{col 41}{space 1}   -2.27{col 50}{space 3}0.023{col 58}{space 4} -.562908{col 71}{space 3}-.0410984
{txt}{space 11}Croat {c |}{col 18}{res}{space 2}-.0966152{col 30}{space 2} .1707099{col 41}{space 1}   -0.57{col 50}{space 3}0.571{col 58}{space 4}-.4312006{col 71}{space 3} .2379701
{txt}{space 12}Serb {c |}{col 18}{res}{space 2}-.1750203{col 30}{space 2} .1541534{col 41}{space 1}   -1.14{col 50}{space 3}0.256{col 58}{space 4}-.4771553{col 71}{space 3} .1271147
{txt}{space 13}Men {c |}{col 18}{res}{space 2} -.236722{col 30}{space 2} .0488276{col 41}{space 1}   -4.85{col 50}{space 3}0.000{col 58}{space 4}-.3324223{col 71}{space 3}-.1410217
{txt}{space 13}age {c |}{col 18}{res}{space 2}-.0035262{col 30}{space 2} .0016352{col 41}{space 1}   -2.16{col 50}{space 3}0.031{col 58}{space 4}-.0067312{col 71}{space 3}-.0003212
{txt}{space 7}Education {c |}{col 18}{res}{space 2} .0713334{col 30}{space 2} .0139708{col 41}{space 1}    5.11{col 50}{space 3}0.000{col 58}{space 4} .0439511{col 71}{space 3} .0987157
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.1342174{col 30}{space 2} .0884974{col 41}{space 1}   -1.52{col 50}{space 3}0.129{col 58}{space 4}-.3076691{col 71}{space 3} .0392343
{txt}{space 6}unemployed {c |}{col 18}{res}{space 2}-.0026227{col 30}{space 2} .0488634{col 41}{space 1}   -0.05{col 50}{space 3}0.957{col 58}{space 4}-.0983931{col 71}{space 3} .0931477
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Table 7:  Change in LGBT+ Support Over Time Outside Sarajevo (OLS Regression)
. reg progayindex2 i.treatment2 if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,463
                                                {txt}F(2, 93)          =  {res}     5.35
                                                {txt}Prob > F          = {res}    0.0063
                                                {txt}R-squared         = {res}    0.0165
                                                {txt}Root MSE          =    {res} .81925

{txt}{ralign 78:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.048933{col 26}{space 2} .0620184{col 37}{space 1}   -0.79{col 46}{space 3}0.432{col 54}{space 4}-.1720892{col 67}{space 3} .0742232
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1966406{col 26}{space 2} .0681304{col 37}{space 1}    2.89{col 46}{space 3}0.005{col 54}{space 4} .0613471{col 67}{space 3} .3319341
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.0507304{col 26}{space 2} .0506246{col 37}{space 1}   -1.00{col 46}{space 3}0.319{col 54}{space 4}-.1512608{col 67}{space 3} .0498001
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg progayindex2 i.treatment2##c.eth_frac13 voteeu ethnocentric religious  if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,403
                                                {txt}F(8, 93)          =  {res}    10.22
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0449
                                                {txt}Root MSE          =    {res} .80991

{txt}{ralign 89:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           progayindex2{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}treatment2 {c |}
{space 21}1  {c |}{col 25}{res}{space 2}-.2082454{col 37}{space 2} .1041523{col 48}{space 1}   -2.00{col 57}{space 3}0.048{col 65}{space 4}-.4150712{col 78}{space 3}-.0014196
{txt}{space 21}2  {c |}{col 25}{res}{space 2} -.058689{col 37}{space 2} .1142795{col 48}{space 1}   -0.51{col 57}{space 3}0.609{col 65}{space 4}-.2856255{col 78}{space 3} .1682474
{txt}{space 23} {c |}
{space 13}eth_frac13 {c |}{col 25}{res}{space 2}-.3987425{col 37}{space 2} .2372198{col 48}{space 1}   -1.68{col 57}{space 3}0.096{col 65}{space 4}-.8698139{col 78}{space 3} .0723289
{txt}{space 23} {c |}
treatment2#c.eth_frac13 {c |}
{space 21}1  {c |}{col 25}{res}{space 2} .7529618{col 37}{space 2} .3352537{col 48}{space 1}    2.25{col 57}{space 3}0.027{col 65}{space 4} .0872144{col 78}{space 3} 1.418709
{txt}{space 21}2  {c |}{col 25}{res}{space 2} 1.037112{col 37}{space 2} .3324054{col 48}{space 1}    3.12{col 57}{space 3}0.002{col 65}{space 4} .3770208{col 78}{space 3} 1.697203
{txt}{space 23} {c |}
{space 17}voteeu {c |}{col 25}{res}{space 2} .1255059{col 37}{space 2} .0476702{col 48}{space 1}    2.63{col 57}{space 3}0.010{col 65}{space 4} .0308424{col 78}{space 3} .2201694
{txt}{space 11}ethnocentric {c |}{col 25}{res}{space 2}-.1553336{col 37}{space 2} .0509603{col 48}{space 1}   -3.05{col 57}{space 3}0.003{col 65}{space 4}-.2565306{col 78}{space 3}-.0541366
{txt}{space 14}religious {c |}{col 25}{res}{space 2}-.0972599{col 37}{space 2} .0306482{col 48}{space 1}   -3.17{col 57}{space 3}0.002{col 65}{space 4}-.1581212{col 78}{space 3}-.0363986
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .2483929{col 37}{space 2} .1201229{col 48}{space 1}    2.07{col 57}{space 3}0.041{col 65}{space 4} .0098527{col 78}{space 3} .4869331
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg progayindex2 i.treatment2##c.eth_frac13 voteeu ethnocentric religious hadcovid diedcovid vaccinated Bosniak Croat Serb Men age Education rural unemployed  rs log_casualty refugees ethnic_vote_share if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     1,990
                                                {txt}F(23, 65)         =  {res}     9.90
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1154
                                                {txt}Root MSE          =    {res} .78503

{txt}{ralign 89:(Std. Err. adjusted for {res:66} clusters in municipality)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}           progayindex2{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}treatment2 {c |}
{space 21}1  {c |}{col 25}{res}{space 2}-.1230636{col 37}{space 2} .1251135{col 48}{space 1}   -0.98{col 57}{space 3}0.329{col 65}{space 4}-.3729325{col 78}{space 3} .1268054
{txt}{space 21}2  {c |}{col 25}{res}{space 2} .0177695{col 37}{space 2} .1398212{col 48}{space 1}    0.13{col 57}{space 3}0.899{col 65}{space 4}-.2614727{col 78}{space 3} .2970117
{txt}{space 23} {c |}
{space 13}eth_frac13 {c |}{col 25}{res}{space 2}-.2558512{col 37}{space 2} .3155904{col 48}{space 1}   -0.81{col 57}{space 3}0.420{col 65}{space 4}-.8861287{col 78}{space 3} .3744263
{txt}{space 23} {c |}
treatment2#c.eth_frac13 {c |}
{space 21}1  {c |}{col 25}{res}{space 2} .5363785{col 37}{space 2} .3611868{col 48}{space 1}    1.49{col 57}{space 3}0.142{col 65}{space 4}-.1849613{col 78}{space 3} 1.257718
{txt}{space 21}2  {c |}{col 25}{res}{space 2} .9058842{col 37}{space 2} .3768761{col 48}{space 1}    2.40{col 57}{space 3}0.019{col 65}{space 4} .1532108{col 78}{space 3} 1.658558
{txt}{space 23} {c |}
{space 17}voteeu {c |}{col 25}{res}{space 2} .1460659{col 37}{space 2} .0470818{col 48}{space 1}    3.10{col 57}{space 3}0.003{col 65}{space 4} .0520371{col 78}{space 3} .2400947
{txt}{space 11}ethnocentric {c |}{col 25}{res}{space 2}-.1410245{col 37}{space 2} .0518753{col 48}{space 1}   -2.72{col 57}{space 3}0.008{col 65}{space 4}-.2446267{col 78}{space 3}-.0374224
{txt}{space 14}religious {c |}{col 25}{res}{space 2}-.1112894{col 37}{space 2} .0346798{col 48}{space 1}   -3.21{col 57}{space 3}0.002{col 65}{space 4}-.1805499{col 78}{space 3} -.042029
{txt}{space 15}hadcovid {c |}{col 25}{res}{space 2} .1944775{col 37}{space 2} .1161714{col 48}{space 1}    1.67{col 57}{space 3}0.099{col 65}{space 4}-.0375328{col 78}{space 3} .4264878
{txt}{space 14}diedcovid {c |}{col 25}{res}{space 2} .6618683{col 37}{space 2} .2968367{col 48}{space 1}    2.23{col 57}{space 3}0.029{col 65}{space 4} .0690444{col 78}{space 3} 1.254692
{txt}{space 13}vaccinated {c |}{col 25}{res}{space 2}-.0898892{col 37}{space 2} .1002242{col 48}{space 1}   -0.90{col 57}{space 3}0.373{col 65}{space 4}-.2900507{col 78}{space 3} .1102724
{txt}{space 16}Bosniak {c |}{col 25}{res}{space 2}-.1825241{col 37}{space 2} .1540065{col 48}{space 1}   -1.19{col 57}{space 3}0.240{col 65}{space 4}-.4900964{col 78}{space 3} .1250482
{txt}{space 18}Croat {c |}{col 25}{res}{space 2} .0693293{col 37}{space 2} .1841216{col 48}{space 1}    0.38{col 57}{space 3}0.708{col 65}{space 4} -.298387{col 78}{space 3} .4370455
{txt}{space 19}Serb {c |}{col 25}{res}{space 2}-.1555691{col 37}{space 2} .1676396{col 48}{space 1}   -0.93{col 57}{space 3}0.357{col 65}{space 4}-.4903685{col 78}{space 3} .1792303
{txt}{space 20}Men {c |}{col 25}{res}{space 2}-.1702722{col 37}{space 2} .0437174{col 48}{space 1}   -3.89{col 57}{space 3}0.000{col 65}{space 4}-.2575819{col 78}{space 3}-.0829625
{txt}{space 20}age {c |}{col 25}{res}{space 2}-.0018405{col 37}{space 2} .0013217{col 48}{space 1}   -1.39{col 57}{space 3}0.168{col 65}{space 4}-.0044801{col 78}{space 3}  .000799
{txt}{space 14}Education {c |}{col 25}{res}{space 2} .0459495{col 37}{space 2} .0138873{col 48}{space 1}    3.31{col 57}{space 3}0.002{col 65}{space 4} .0182148{col 78}{space 3} .0736843
{txt}{space 18}rural {c |}{col 25}{res}{space 2}-.0711935{col 37}{space 2} .0597046{col 48}{space 1}   -1.19{col 57}{space 3}0.237{col 65}{space 4}-.1904319{col 78}{space 3} .0480448
{txt}{space 13}unemployed {c |}{col 25}{res}{space 2}-.0290905{col 37}{space 2} .0430148{col 48}{space 1}   -0.68{col 57}{space 3}0.501{col 65}{space 4}-.1149969{col 78}{space 3} .0568159
{txt}{space 21}rs {c |}{col 25}{res}{space 2} .2735795{col 37}{space 2} .1043615{col 48}{space 1}    2.62{col 57}{space 3}0.011{col 65}{space 4} .0651552{col 78}{space 3} .4820037
{txt}{space 11}log_casualty {c |}{col 25}{res}{space 2} -.038733{col 37}{space 2} .0509664{col 48}{space 1}   -0.76{col 57}{space 3}0.450{col 65}{space 4}-.1405198{col 78}{space 3} .0630539
{txt}{space 15}refugees {c |}{col 25}{res}{space 2}-.0043097{col 37}{space 2} .0144555{col 48}{space 1}   -0.30{col 57}{space 3}0.767{col 65}{space 4}-.0331793{col 78}{space 3}   .02456
{txt}{space 6}ethnic_vote_share {c |}{col 25}{res}{space 2}-.0072552{col 37}{space 2} .0043054{col 48}{space 1}   -1.69{col 57}{space 3}0.097{col 65}{space 4}-.0158537{col 78}{space 3} .0013433
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .8597202{col 37}{space 2} .3523817{col 48}{space 1}    2.44{col 57}{space 3}0.017{col 65}{space 4} .1559653{col 78}{space 3} 1.563475
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *(note: response comparable with normalized dependent variable) 
. 
. *Table 8a:  Change in LGBT+ Support Over Time Outside Sarajevo (OLS Regression)
. reg supportpride i.treatment2   if sarajevocity==0, robust

{txt}Linear regression                               Number of obs     = {res}     2,566
                                                {txt}F(2, 2563)        =  {res}    11.31
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0099
                                                {txt}Root MSE          =    {res} .85237

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}supportpride{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0241092{col 26}{space 2} .0379256{col 37}{space 1}   -0.64{col 46}{space 3}0.525{col 54}{space 4}-.0984772{col 67}{space 3} .0502587
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1669874{col 26}{space 2} .0429125{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4} .0828408{col 67}{space 3}  .251134
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.515716{col 26}{space 2} .0273805{col 37}{space 1}   55.36{col 46}{space 3}0.000{col 54}{space 4} 1.462026{col 67}{space 3} 1.569406
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg closetogay i.treatment2   if sarajevocity==0, robust

{txt}Linear regression                               Number of obs     = {res}     2,733
                                                {txt}F(2, 2730)        =  {res}     7.06
                                                {txt}Prob > F          = {res}    0.0009
                                                {txt}R-squared         = {res}    0.0057
                                                {txt}Root MSE          =    {res} 1.8558

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  closetogay{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0217498{col 26}{space 2}  .081315{col 37}{space 1}   -0.27{col 46}{space 3}0.789{col 54}{space 4}-.1811949{col 67}{space 3} .1376953
{txt}{space 10}2  {c |}{col 14}{res}{space 2}   .28804{col 26}{space 2} .0915651{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .1084961{col 67}{space 3} .4675839
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .7275676{col 26}{space 2} .0601799{col 37}{space 1}   12.09{col 46}{space 3}0.000{col 54}{space 4} .6095648{col 67}{space 3} .8455703
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg gayrights i.treatment2   if sarajevocity==0, robust

{txt}Linear regression                               Number of obs     = {res}     2,675
                                                {txt}F(2, 2672)        =  {res}    27.32
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0211
                                                {txt}Root MSE          =    {res} 3.4774

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   gayrights{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0979003{col 26}{space 2} .1602352{col 37}{space 1}   -0.61{col 46}{space 3}0.541{col 54}{space 4}-.4120978{col 67}{space 3} .2162973
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.030561{col 26}{space 2} .1662078{col 37}{space 1}    6.20{col 46}{space 3}0.000{col 54}{space 4} .7046519{col 67}{space 3}  1.35647
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.012088{col 26}{space 2}  .112274{col 37}{space 1}   26.83{col 46}{space 3}0.000{col 54}{space 4} 2.791935{col 67}{space 3} 3.232241
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg dgprogay i.treatment2   if sarajevocity==0, robust

{txt}Linear regression                               Number of obs     = {res}     2,825
                                                {txt}F(2, 2822)        =  {res}     7.90
                                                {txt}Prob > F          = {res}    0.0004
                                                {txt}R-squared         = {res}    0.0056
                                                {txt}Root MSE          =    {res} 261.94

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    dgprogay{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-21.95182{col 26}{space 2} 11.37666{col 37}{space 1}   -1.93{col 46}{space 3}0.054{col 54}{space 4}-44.25922{col 67}{space 3} .3555837
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 26.33215{col 26}{space 2}  12.6662{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} 1.496204{col 67}{space 3} 51.16809
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 153.1259{col 26}{space 2}  8.41523{col 37}{space 1}   18.20{col 46}{space 3}0.000{col 54}{space 4} 136.6253{col 67}{space 3} 169.6265
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Table 8b:  Change in LGBT+ Support Over Time Outside Sarajevo (Ordered Probit Regression)
. oprobit supportpride i.treatment2 if sarajevocity==0, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2563.6867}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2554.2984}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2554.2968}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2554.2968}  
{res}
{txt}Ordered probit regression{col 49}Number of obs{col 67}= {res}     2,566
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}     18.20
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-2554.2968{txt}{col 49}Pseudo R2{col 67}= {res}    0.0037

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}supportpride{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0202838{col 26}{space 2} .0566694{col 37}{space 1}   -0.36{col 46}{space 3}0.720{col 54}{space 4}-.1313538{col 67}{space 3} .0907863
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2039633{col 26}{space 2} .0581029{col 37}{space 1}    3.51{col 46}{space 3}0.000{col 54}{space 4} .0900836{col 67}{space 3} .3178429
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/cut1 {c |}{col 14}{res}{space 2} .4032744{col 26}{space 2}  .041602{col 54}{space 4} .3217359{col 67}{space 3} .4848129
{txt}{space 7}/cut2 {c |}{col 14}{res}{space 2} 1.092507{col 26}{space 2} .0445272{col 54}{space 4} 1.005235{col 67}{space 3} 1.179778
{txt}{space 7}/cut3 {c |}{col 14}{res}{space 2} 1.764098{col 26}{space 2} .0528835{col 54}{space 4} 1.660448{col 67}{space 3} 1.867748
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tobit closetogay i.treatment2 if sarajevocity==0, ll ul vce(robust)
{res}{txt}
Refining starting values:

Grid node 0:{space 3}log likelihood = {res:-4461.6779}

Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4461.6779}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3328.8025}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2930.5445}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2823.6307}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2810.2781}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2810.2602}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2810.2602}  
{res}
{txt}Tobit regression{col 49}Number of obs{col 67}= {res}     2,733
{txt}{col 49}   Uncensored    {col 67}= {res}       606
{txt}Limits: lower = {res}0{txt}{col 49}   Left-censored {col 67}= {res}     2,116
{txt}        upper = {res}10{txt}{col 49}   Right-censored{col 67}= {res}        11

{txt}{col 49}F({res}   2{txt},{res}   2731{txt}){col 67}= {res}      5.66
{txt}{col 49}Prob > F{col 67}= {res}    0.0035
{txt}Log pseudolikelihood = {res}-2810.2602{txt}{col 49}Pseudo R2{col 67}= {res}    0.0020

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       closetogay{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treatment2 {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .2404464{col 31}{space 2} .3676266{col 42}{space 1}    0.65{col 51}{space 3}0.513{col 59}{space 4} -.480408{col 72}{space 3} .9613007
{txt}{space 15}2  {c |}{col 19}{res}{space 2} 1.163937{col 31}{space 2} .3694322{col 42}{space 1}    3.15{col 51}{space 3}0.002{col 59}{space 4} .4395422{col 72}{space 3} 1.888332
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} -4.81814{col 31}{space 2} .3217988{col 42}{space 1}  -14.97{col 51}{space 3}0.000{col 59}{space 4}-5.449133{col 72}{space 3}-4.187146
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}var(e.closetogay){c |}{col 19}{res}{space 2} 34.65432{col 31}{space 2} 2.006278{col 59}{space 4} 30.93542{col 72}{space 3} 38.82028
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tobit gayrights i.treatment2 if sarajevocity==0, ll ul vce(robust)
{res}{txt}
Refining starting values:

Grid node 0:{space 3}log likelihood = {res:-6110.8807}

Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6110.8807}  
Iteration 1:{space 3}log pseudolikelihood = {res: -5641.854}  
Iteration 2:{space 3}log pseudolikelihood = {res: -5590.192}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5587.6341}  
Iteration 4:{space 3}log pseudolikelihood = {res:-5587.6263}  
Iteration 5:{space 3}log pseudolikelihood = {res:-5587.6263}  
{res}
{txt}Tobit regression{col 49}Number of obs{col 67}= {res}     2,675
{txt}{col 49}   Uncensored    {col 67}= {res}     1,393
{txt}Limits: lower = {res}0{txt}{col 49}   Left-censored {col 67}= {res}     1,074
{txt}        upper = {res}10{txt}{col 49}   Right-censored{col 67}= {res}       208

{txt}{col 49}F({res}   2{txt},{res}   2673{txt}){col 67}= {res}     32.38
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-5587.6263{txt}{col 49}Pseudo R2{col 67}= {res}    0.0060

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       gayrights{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}treatment2 {c |}
{space 14}1  {c |}{col 18}{res}{space 2} .1380747{col 30}{space 2} .3090885{col 41}{space 1}    0.45{col 50}{space 3}0.655{col 58}{space 4} -.468002{col 71}{space 3} .7441515
{txt}{space 14}2  {c |}{col 18}{res}{space 2} 2.249222{col 30}{space 2} .3079373{col 41}{space 1}    7.30{col 50}{space 3}0.000{col 58}{space 4} 1.645403{col 71}{space 3} 2.853041
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2} 1.039427{col 30}{space 2} .2245875{col 41}{space 1}    4.63{col 50}{space 3}0.000{col 58}{space 4}  .599044{col 71}{space 3}  1.47981
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}var(e.gayrights){c |}{col 18}{res}{space 2}  36.5584{col 30}{space 2} 1.528958{col 58}{space 4} 33.67998{col 71}{space 3} 39.68283
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tobit gayrights i.treatment2 if sarajevocity==0, ll ul vce(robust)
{res}{txt}
Refining starting values:

Grid node 0:{space 3}log likelihood = {res:-6110.8807}

Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6110.8807}  
Iteration 1:{space 3}log pseudolikelihood = {res: -5641.854}  
Iteration 2:{space 3}log pseudolikelihood = {res: -5590.192}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5587.6341}  
Iteration 4:{space 3}log pseudolikelihood = {res:-5587.6263}  
Iteration 5:{space 3}log pseudolikelihood = {res:-5587.6263}  
{res}
{txt}Tobit regression{col 49}Number of obs{col 67}= {res}     2,675
{txt}{col 49}   Uncensored    {col 67}= {res}     1,393
{txt}Limits: lower = {res}0{txt}{col 49}   Left-censored {col 67}= {res}     1,074
{txt}        upper = {res}10{txt}{col 49}   Right-censored{col 67}= {res}       208

{txt}{col 49}F({res}   2{txt},{res}   2673{txt}){col 67}= {res}     32.38
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-5587.6263{txt}{col 49}Pseudo R2{col 67}= {res}    0.0060

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       gayrights{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}treatment2 {c |}
{space 14}1  {c |}{col 18}{res}{space 2} .1380747{col 30}{space 2} .3090885{col 41}{space 1}    0.45{col 50}{space 3}0.655{col 58}{space 4} -.468002{col 71}{space 3} .7441515
{txt}{space 14}2  {c |}{col 18}{res}{space 2} 2.249222{col 30}{space 2} .3079373{col 41}{space 1}    7.30{col 50}{space 3}0.000{col 58}{space 4} 1.645403{col 71}{space 3} 2.853041
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2} 1.039427{col 30}{space 2} .2245875{col 41}{space 1}    4.63{col 50}{space 3}0.000{col 58}{space 4}  .599044{col 71}{space 3}  1.47981
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}var(e.gayrights){c |}{col 18}{res}{space 2}  36.5584{col 30}{space 2} 1.528958{col 58}{space 4} 33.67998{col 71}{space 3} 39.68283
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Table 9:  Covariable Balance Pre-Pride vs. Post-Pride
. mlogit treatment2 ethnocentric religious voteeu Bosniak Croat Serb Men age Education rural unemployed  rs if sarajevocity==0, cluster(municipality) baseoutcome(0)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2995.3851}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2925.9961}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2925.8832}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2925.8832}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}     2,727
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}     57.53
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-2925.8832{txt}{col 49}Pseudo R2{col 67}= {res}    0.0232

{txt}{ralign 78:(Std. Err. adjusted for {res:95} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  treatment2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1            {txt}{c |}
ethnocentric {c |}{col 14}{res}{space 2} .2920544{col 26}{space 2} .1617353{col 37}{space 1}    1.81{col 46}{space 3}0.071{col 54}{space 4}-.0249409{col 67}{space 3} .6090497
{txt}{space 3}religious {c |}{col 14}{res}{space 2} .3646509{col 26}{space 2} .0992529{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4} .1701189{col 67}{space 3}  .559183
{txt}{space 6}voteeu {c |}{col 14}{res}{space 2} .2196198{col 26}{space 2} .1564438{col 37}{space 1}    1.40{col 46}{space 3}0.160{col 54}{space 4}-.0870045{col 67}{space 3} .5262441
{txt}{space 5}Bosniak {c |}{col 14}{res}{space 2} .1876938{col 26}{space 2} .3958828{col 37}{space 1}    0.47{col 46}{space 3}0.635{col 54}{space 4}-.5882223{col 67}{space 3} .9636099
{txt}{space 7}Croat {c |}{col 14}{res}{space 2}-.0978539{col 26}{space 2} .4748274{col 37}{space 1}   -0.21{col 46}{space 3}0.837{col 54}{space 4}-1.028499{col 67}{space 3} .8327907
{txt}{space 8}Serb {c |}{col 14}{res}{space 2} .0901445{col 26}{space 2} .4059742{col 37}{space 1}    0.22{col 46}{space 3}0.824{col 54}{space 4}-.7055504{col 67}{space 3} .8858394
{txt}{space 9}Men {c |}{col 14}{res}{space 2} .0806952{col 26}{space 2} .0474963{col 37}{space 1}    1.70{col 46}{space 3}0.089{col 54}{space 4}-.0123958{col 67}{space 3} .1737863
{txt}{space 9}age {c |}{col 14}{res}{space 2} -.002036{col 26}{space 2} .0023917{col 37}{space 1}   -0.85{col 46}{space 3}0.395{col 54}{space 4}-.0067235{col 67}{space 3} .0026516
{txt}{space 3}Education {c |}{col 14}{res}{space 2} .0098259{col 26}{space 2} .0431436{col 37}{space 1}    0.23{col 46}{space 3}0.820{col 54}{space 4}-.0747339{col 67}{space 3} .0943857
{txt}{space 7}rural {c |}{col 14}{res}{space 2} .4888227{col 26}{space 2} .1812869{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4}  .133507{col 67}{space 3} .8441384
{txt}{space 2}unemployed {c |}{col 14}{res}{space 2} -.206885{col 26}{space 2} .1326566{col 37}{space 1}   -1.56{col 46}{space 3}0.119{col 54}{space 4}-.4668872{col 67}{space 3} .0531173
{txt}{space 10}rs {c |}{col 14}{res}{space 2} .0073401{col 26}{space 2} .2022669{col 37}{space 1}    0.04{col 46}{space 3}0.971{col 54}{space 4}-.3890957{col 67}{space 3} .4037758
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -2.02027{col 26}{space 2} .6172223{col 37}{space 1}   -3.27{col 46}{space 3}0.001{col 54}{space 4}-3.230003{col 67}{space 3}-.8105363
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
ethnocentric {c |}{col 14}{res}{space 2} .1551262{col 26}{space 2} .1917478{col 37}{space 1}    0.81{col 46}{space 3}0.419{col 54}{space 4}-.2206926{col 67}{space 3} .5309449
{txt}{space 3}religious {c |}{col 14}{res}{space 2} .1340433{col 26}{space 2} .1186785{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4}-.0985623{col 67}{space 3} .3666489
{txt}{space 6}voteeu {c |}{col 14}{res}{space 2}-.0715685{col 26}{space 2}   .18276{col 37}{space 1}   -0.39{col 46}{space 3}0.695{col 54}{space 4}-.4297716{col 67}{space 3} .2866345
{txt}{space 5}Bosniak {c |}{col 14}{res}{space 2}-.7910101{col 26}{space 2} .3687314{col 37}{space 1}   -2.15{col 46}{space 3}0.032{col 54}{space 4} -1.51371{col 67}{space 3}-.0683099
{txt}{space 7}Croat {c |}{col 14}{res}{space 2}-.4507583{col 26}{space 2} .4435967{col 37}{space 1}   -1.02{col 46}{space 3}0.310{col 54}{space 4}-1.320192{col 67}{space 3} .4186752
{txt}{space 8}Serb {c |}{col 14}{res}{space 2}-.7389871{col 26}{space 2}  .402849{col 37}{space 1}   -1.83{col 46}{space 3}0.067{col 54}{space 4}-1.528557{col 67}{space 3} .0505825
{txt}{space 9}Men {c |}{col 14}{res}{space 2} .0576298{col 26}{space 2} .0540209{col 37}{space 1}    1.07{col 46}{space 3}0.286{col 54}{space 4}-.0482491{col 67}{space 3} .1635088
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0049191{col 26}{space 2} .0035047{col 37}{space 1}    1.40{col 46}{space 3}0.160{col 54}{space 4}  -.00195{col 67}{space 3} .0117882
{txt}{space 3}Education {c |}{col 14}{res}{space 2}-.0033386{col 26}{space 2} .0418073{col 37}{space 1}   -0.08{col 46}{space 3}0.936{col 54}{space 4}-.0852795{col 67}{space 3} .0786023
{txt}{space 7}rural {c |}{col 14}{res}{space 2}   .55974{col 26}{space 2} .1956196{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} .1763325{col 67}{space 3} .9431474
{txt}{space 2}unemployed {c |}{col 14}{res}{space 2}  .071479{col 26}{space 2}  .123469{col 37}{space 1}    0.58{col 46}{space 3}0.563{col 54}{space 4}-.1705158{col 67}{space 3} .3134738
{txt}{space 10}rs {c |}{col 14}{res}{space 2} .0173405{col 26}{space 2} .2516316{col 37}{space 1}    0.07{col 46}{space 3}0.945{col 54}{space 4}-.4758482{col 67}{space 3} .5105293
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.7826934{col 26}{space 2} .6304637{col 37}{space 1}   -1.24{col 46}{space 3}0.214{col 54}{space 4}-2.018379{col 67}{space 3} .4529927
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Table 10. Covariable Balance Immediate Post-Pride vs. Two-Year Follow-up
. mlogit treatment2 ethnocentric religious voteeu Bosniak Croat Serb Men age Education rural unemployed  rs if sarajevocity==0, cluster(municipality) baseoutcome(1)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2995.3851}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2925.9961}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2925.8832}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2925.8832}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}     2,727
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}     57.53
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-2925.8832{txt}{col 49}Pseudo R2{col 67}= {res}    0.0232

{txt}{ralign 78:(Std. Err. adjusted for {res:95} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  treatment2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}0            {txt}{c |}
ethnocentric {c |}{col 14}{res}{space 2}-.2920544{col 26}{space 2} .1617353{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}-.6090497{col 67}{space 3} .0249409
{txt}{space 3}religious {c |}{col 14}{res}{space 2}-.3646509{col 26}{space 2} .0992529{col 37}{space 1}   -3.67{col 46}{space 3}0.000{col 54}{space 4} -.559183{col 67}{space 3}-.1701189
{txt}{space 6}voteeu {c |}{col 14}{res}{space 2}-.2196198{col 26}{space 2} .1564438{col 37}{space 1}   -1.40{col 46}{space 3}0.160{col 54}{space 4}-.5262441{col 67}{space 3} .0870045
{txt}{space 5}Bosniak {c |}{col 14}{res}{space 2}-.1876938{col 26}{space 2} .3958828{col 37}{space 1}   -0.47{col 46}{space 3}0.635{col 54}{space 4}-.9636099{col 67}{space 3} .5882223
{txt}{space 7}Croat {c |}{col 14}{res}{space 2} .0978539{col 26}{space 2} .4748274{col 37}{space 1}    0.21{col 46}{space 3}0.837{col 54}{space 4}-.8327907{col 67}{space 3} 1.028499
{txt}{space 8}Serb {c |}{col 14}{res}{space 2}-.0901445{col 26}{space 2} .4059742{col 37}{space 1}   -0.22{col 46}{space 3}0.824{col 54}{space 4}-.8858394{col 67}{space 3} .7055504
{txt}{space 9}Men {c |}{col 14}{res}{space 2}-.0806952{col 26}{space 2} .0474963{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-.1737863{col 67}{space 3} .0123958
{txt}{space 9}age {c |}{col 14}{res}{space 2}  .002036{col 26}{space 2} .0023917{col 37}{space 1}    0.85{col 46}{space 3}0.395{col 54}{space 4}-.0026516{col 67}{space 3} .0067235
{txt}{space 3}Education {c |}{col 14}{res}{space 2}-.0098259{col 26}{space 2} .0431436{col 37}{space 1}   -0.23{col 46}{space 3}0.820{col 54}{space 4}-.0943857{col 67}{space 3} .0747339
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.4888227{col 26}{space 2} .1812869{col 37}{space 1}   -2.70{col 46}{space 3}0.007{col 54}{space 4}-.8441384{col 67}{space 3} -.133507
{txt}{space 2}unemployed {c |}{col 14}{res}{space 2}  .206885{col 26}{space 2} .1326566{col 37}{space 1}    1.56{col 46}{space 3}0.119{col 54}{space 4}-.0531173{col 67}{space 3} .4668872
{txt}{space 10}rs {c |}{col 14}{res}{space 2}-.0073401{col 26}{space 2} .2022669{col 37}{space 1}   -0.04{col 46}{space 3}0.971{col 54}{space 4}-.4037758{col 67}{space 3} .3890957
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  2.02027{col 26}{space 2} .6172223{col 37}{space 1}    3.27{col 46}{space 3}0.001{col 54}{space 4} .8105363{col 67}{space 3} 3.230003
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
ethnocentric {c |}{col 14}{res}{space 2}-.1369282{col 26}{space 2} .2044561{col 37}{space 1}   -0.67{col 46}{space 3}0.503{col 54}{space 4}-.5376547{col 67}{space 3} .2637983
{txt}{space 3}religious {c |}{col 14}{res}{space 2}-.2306077{col 26}{space 2} .1357584{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-.4966892{col 67}{space 3} .0354738
{txt}{space 6}voteeu {c |}{col 14}{res}{space 2}-.2911883{col 26}{space 2} .1911513{col 37}{space 1}   -1.52{col 46}{space 3}0.128{col 54}{space 4} -.665838{col 67}{space 3} .0834614
{txt}{space 5}Bosniak {c |}{col 14}{res}{space 2}-.9787039{col 26}{space 2} .4147674{col 37}{space 1}   -2.36{col 46}{space 3}0.018{col 54}{space 4}-1.791633{col 67}{space 3}-.1657748
{txt}{space 7}Croat {c |}{col 14}{res}{space 2}-.3529044{col 26}{space 2} .4485735{col 37}{space 1}   -0.79{col 46}{space 3}0.431{col 54}{space 4}-1.232092{col 67}{space 3} .5262834
{txt}{space 8}Serb {c |}{col 14}{res}{space 2}-.8291317{col 26}{space 2} .4788344{col 37}{space 1}   -1.73{col 46}{space 3}0.083{col 54}{space 4} -1.76763{col 67}{space 3} .1093665
{txt}{space 9}Men {c |}{col 14}{res}{space 2}-.0230654{col 26}{space 2}  .048191{col 37}{space 1}   -0.48{col 46}{space 3}0.632{col 54}{space 4}-.1175181{col 67}{space 3} .0713873
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0069551{col 26}{space 2} .0036389{col 37}{space 1}    1.91{col 46}{space 3}0.056{col 54}{space 4}-.0001769{col 67}{space 3} .0140871
{txt}{space 3}Education {c |}{col 14}{res}{space 2}-.0131645{col 26}{space 2} .0429162{col 37}{space 1}   -0.31{col 46}{space 3}0.759{col 54}{space 4}-.0972787{col 67}{space 3} .0709497
{txt}{space 7}rural {c |}{col 14}{res}{space 2} .0709173{col 26}{space 2} .1744444{col 37}{space 1}    0.41{col 46}{space 3}0.684{col 54}{space 4}-.2709875{col 67}{space 3}  .412822
{txt}{space 2}unemployed {c |}{col 14}{res}{space 2}  .278364{col 26}{space 2} .1606152{col 37}{space 1}    1.73{col 46}{space 3}0.083{col 54}{space 4}-.0364361{col 67}{space 3}  .593164
{txt}{space 10}rs {c |}{col 14}{res}{space 2} .0100005{col 26}{space 2} .2977529{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-.5735846{col 67}{space 3} .5935855
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.237576{col 26}{space 2} .7059109{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4}-.1459836{col 67}{space 3} 2.621136
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Table 11. Time Effects on LGBT+ Support (Coarsened Exact Matching)
. 
. *Immediately Pre/Post-Pride Outside Sarajevo
. cem rural religious if treatment2~=2 & sarajevocity==0, treatment(treatment2)
{res}
{txt}Matching Summary:
-----------------
Number of strata: {res}8
{txt}Number of matched strata: {res}8

           {txt}  0    1
      All  {res}953  942
{txt}  Matched  {res}953  942
{txt}Unmatched  {res}  0    0


{txt}Multivariate L1 distance: {res}4.163e-15

{txt}Univariate imbalance:

                 L1      mean       min       25%       50%       75%       max
    rural  {res} 4.4e-15  -1.1e-14         0         0         0         0         0
{txt}religious  {res} 4.4e-15   6.2e-15         0         0         0         0         .
{txt}
{com}. reg progayindex2 treatment2  if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,463
                                                {txt}F(1, 93)          =  {res}     8.24
                                                {txt}Prob > F          = {res}    0.0051
                                                {txt}R-squared         = {res}    0.0096
                                                {txt}Root MSE          =    {res} .82197

{txt}{ralign 78:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}{col 14}{res}{space 2}  .098235{col 26}{space 2} .0342249{col 37}{space 1}    2.87{col 46}{space 3}0.005{col 54}{space 4} .0302712{col 67}{space 3} .1661988
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0981153{col 26}{space 2} .0483106{col 37}{space 1}   -2.03{col 46}{space 3}0.045{col 54}{space 4}-.1940507{col 67}{space 3}  -.00218
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg progayindex2 treatment2  if sarajevocity==0 [pweight=cem_weights], cluster(municipality)
{txt}(sum of wgt is 1,619.67339248133)

Linear regression                               Number of obs     = {res}     1,630
                                                {txt}F(1, 78)          =  {res}     0.10
                                                {txt}Prob > F          = {res}    0.7498
                                                {txt}R-squared         = {res}    0.0002
                                                {txt}Root MSE          =    {res} .76789

{txt}{ralign 78:(Std. Err. adjusted for {res:79} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}{col 14}{res}{space 2} -.020935{col 26}{space 2} .0654248{col 37}{space 1}   -0.32{col 46}{space 3}0.750{col 54}{space 4}-.1511857{col 67}{space 3} .1093157
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0787284{col 26}{space 2} .0507131{col 37}{space 1}   -1.55{col 46}{space 3}0.125{col 54}{space 4}-.1796904{col 67}{space 3} .0222336
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Immediately Before 2019 Pride to Two Years After Pride
. cem rural Bosniak if treatment2~=1 & sarajevocity==0, treatment(treatment2)
{res}
{txt}Matching Summary:
-----------------
Number of strata: {res}4
{txt}Number of matched strata: {res}4

           {txt}  0    2
      All  {res}953  930
{txt}  Matched  {res}953  930
{txt}Unmatched  {res}  0    0


{txt}Multivariate L1 distance: {res}.12038606

{txt}Univariate imbalance:

              L1     mean      min      25%      50%      75%      max
  rural  {res} .12039   .12039        0        0        0        0        0
{txt}Bosniak  {res} .04094  -.04094        0        0        0        0        0
{txt}
{com}. reg progayindex2 treatment2  if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,463
                                                {txt}F(1, 93)          =  {res}     8.24
                                                {txt}Prob > F          = {res}    0.0051
                                                {txt}R-squared         = {res}    0.0096
                                                {txt}Root MSE          =    {res} .82197

{txt}{ralign 78:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}{col 14}{res}{space 2}  .098235{col 26}{space 2} .0342249{col 37}{space 1}    2.87{col 46}{space 3}0.005{col 54}{space 4} .0302712{col 67}{space 3} .1661988
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0981153{col 26}{space 2} .0483106{col 37}{space 1}   -2.03{col 46}{space 3}0.045{col 54}{space 4}-.1940507{col 67}{space 3}  -.00218
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg progayindex2 treatment2  if sarajevocity==0 [pweight=cem_weights], cluster(municipality)
{txt}(sum of wgt is 1,732.51208260834)

Linear regression                               Number of obs     = {res}     1,669
                                                {txt}F(1, 88)          =  {res}     6.96
                                                {txt}Prob > F          = {res}    0.0099
                                                {txt}R-squared         = {res}    0.0128
                                                {txt}Root MSE          =    {res} .85503

{txt}{ralign 78:(Std. Err. adjusted for {res:89} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}{col 14}{res}{space 2} .0974258{col 26}{space 2} .0369373{col 37}{space 1}    2.64{col 46}{space 3}0.010{col 54}{space 4} .0240206{col 67}{space 3}  .170831
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0655892{col 26}{space 2} .0534573{col 37}{space 1}   -1.23{col 46}{space 3}0.223{col 54}{space 4}-.1718243{col 67}{space 3} .0406458
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Immediately After 2019 Pride to Two Years After Pride
. cem Bosniak if treatment2~=0 & sarajevocity==0, treatment(treatment2)
{res}
{txt}Matching Summary:
-----------------
Number of strata: {res}2
{txt}Number of matched strata: {res}2

           {txt}  1    2
      All  {res}942  930
{txt}  Matched  {res}942  930
{txt}Unmatched  {res}  0    0


{txt}Multivariate L1 distance: {res}.19594624

{txt}Univariate imbalance:

              L1     mean      min      25%      50%      75%      max
Bosniak  {res} .19595  -.19595        0        0       -1        0        0
{txt}
{com}. reg progayindex2 treatment2  if sarajevocity==0 & treatment~=0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     1,627
                                                {txt}F(1, 88)          =  {res}     9.37
                                                {txt}Prob > F          = {res}    0.0029
                                                {txt}R-squared         = {res}    0.0218
                                                {txt}Root MSE          =    {res} .82216

{txt}{ralign 78:(Std. Err. adjusted for {res:89} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}{col 14}{res}{space 2} .2455736{col 26}{space 2} .0802058{col 37}{space 1}    3.06{col 46}{space 3}0.003{col 54}{space 4} .0861814{col 67}{space 3} .4049658
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.3452369{col 26}{space 2} .1190286{col 37}{space 1}   -2.90{col 46}{space 3}0.005{col 54}{space 4}-.5817813{col 67}{space 3}-.1086926
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg progayindex2 treatment2  if sarajevocity==0 & treatment~=0 [pweight=cem_weights], cluster(municipality)
{txt}(sum of wgt is 1,658.54679870016)

Linear regression                               Number of obs     = {res}     1,627
                                                {txt}F(1, 88)          =  {res}     8.50
                                                {txt}Prob > F          = {res}    0.0045
                                                {txt}R-squared         = {res}    0.0217
                                                {txt}Root MSE          =    {res} .82649

{txt}{ralign 78:(Std. Err. adjusted for {res:89} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}{col 14}{res}{space 2} .2460544{col 26}{space 2} .0844042{col 37}{space 1}    2.92{col 46}{space 3}0.005{col 54}{space 4} .0783188{col 67}{space 3} .4137899
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.3457177{col 26}{space 2} .1222384{col 37}{space 1}   -2.83{col 46}{space 3}0.006{col 54}{space 4}-.5886408{col 67}{space 3}-.1027946
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Table 12. Time Effects on LGBT+ Support (Propensity Score Matching)
. 
. *Immediately Before 2019 Pride to Two Years After Pride
. teffects ipwra (progayindex2  ethnocentric religious voteeu Bosniak Croat Serb Men age Education rural unemployed  rs , linear) (treatment2 Bosniak Croat Serb Men age Education rural unemployed, probit) if treatment2~=1 & sarajevocity==0

{res}{txt}Iteration 0:{space 3}EE criterion = {res: 3.291e-19}  
Iteration 1:{space 3}EE criterion = {res: 2.253e-33}  
{res}
{txt}Treatment-effects estimation{col 49}Number of obs {col 67}= {res}     1,645
{txt:Estimator}{col 16}:{res: IPW regression adjustment}
{txt:Outcome model}{col 16}:{res: linear}
{txt:Treatment model}{col 16}:{res: probit}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE          {txt}{c |}
{space 2}treatment2 {c |}
{space 3}(2 vs 0)  {c |}{col 14}{res}{space 2}  .234706{col 26}{space 2} .0419872{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .1524126{col 67}{space 3} .3169993
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean       {txt}{c |}
{space 2}treatment2 {c |}
{space 10}0  {c |}{col 14}{res}{space 2}-.0717368{col 26}{space 2} .0283053{col 37}{space 1}   -2.53{col 46}{space 3}0.011{col 54}{space 4}-.1272141{col 67}{space 3}-.0162595
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. teffects psmatch (progayindex2) (treatment2 ethnocentric religious voteeu Bosniak Croat Serb Men age Education rural unemployed  rs , probit) if treatment2~=1 & sarajevocity==0
{res}
{txt}Treatment-effects estimation{col 48}Number of obs {col 67}= {res}     1,645
{txt:Estimator}{col 16}:{res: propensity-score matching}{col 48}{txt:Matches: requested }{col 67}{txt:=}          1
{txt:Outcome model}{col 16}:{res: matching}{txt}{col 63}min {col 67}= {res}         1
{txt:Treatment model}{col 16}:{res: probit}{col 63}{txt:max }{col 67}{txt:=}          2
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}   AI Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE          {txt}{c |}
{space 2}treatment2 {c |}
{space 3}(2 vs 0)  {c |}{col 14}{res}{space 2} .2164013{col 26}{space 2} .0503833{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} .1176518{col 67}{space 3} .3151508
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Immediately After 2019 Pride to Two Years After Pride
. teffects ipwra (progayindex2  ethnocentric religious voteeu Bosniak Croat Serb Men age Education rural unemployed  rs , linear) (treatment2 Bosniak Croat Serb Men age Education rural unemployed, probit) if treatment2~=0 & sarajevocity==0

{res}{txt}Iteration 0:{space 3}EE criterion = {res: 1.566e-17}  
Iteration 1:{space 3}EE criterion = {res: 3.527e-33}  
{res}
{txt}Treatment-effects estimation{col 49}Number of obs {col 67}= {res}     1,577
{txt:Estimator}{col 16}:{res: IPW regression adjustment}
{txt:Outcome model}{col 16}:{res: linear}
{txt:Treatment model}{col 16}:{res: probit}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE          {txt}{c |}
{space 2}treatment2 {c |}
{space 3}(2 vs 1)  {c |}{col 14}{res}{space 2} .2310049{col 26}{space 2} .0407521{col 37}{space 1}    5.67{col 46}{space 3}0.000{col 54}{space 4} .1511323{col 67}{space 3} .3108776
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean       {txt}{c |}
{space 2}treatment2 {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0785866{col 26}{space 2} .0272073{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-.1319118{col 67}{space 3}-.0252613
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. teffects psmatch (progayindex2) (treatment2 ethnocentric religious voteeu Bosniak Croat Serb Men age Education rural unemployed  rs , probit) if treatment2~=0 & sarajevocity==0
{res}
{txt}Treatment-effects estimation{col 48}Number of obs {col 67}= {res}     1,577
{txt:Estimator}{col 16}:{res: propensity-score matching}{col 48}{txt:Matches: requested }{col 67}{txt:=}          1
{txt:Outcome model}{col 16}:{res: matching}{txt}{col 63}min {col 67}= {res}         1
{txt:Treatment model}{col 16}:{res: probit}{col 63}{txt:max }{col 67}{txt:=}          3
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}   AI Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE          {txt}{c |}
{space 2}treatment2 {c |}
{space 3}(2 vs 1)  {c |}{col 14}{res}{space 2}  .215954{col 26}{space 2} .0478981{col 37}{space 1}    4.51{col 46}{space 3}0.000{col 54}{space 4} .1220754{col 67}{space 3} .3098326
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Table 13:  Predictors of Covid-19 Loss, Infection, and Vaccination (Logit Regression)
. logit diedcovid eth_frac13 religious ethnocentric voteeu hadcovid vaccinated Bosniak Croat Serb Men age Education rural unemployed rs if sarajevocity==0 & mmx_progayindex2!=. & treatment2==2, cluster(municipality)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -168.6208}  
Iteration 1:{space 3}log pseudolikelihood = {res: -155.7754}  
Iteration 2:{space 3}log pseudolikelihood = {res:-147.58159}  
Iteration 3:{space 3}log pseudolikelihood = {res:-147.49212}  
Iteration 4:{space 3}log pseudolikelihood = {res:-147.49191}  
Iteration 5:{space 3}log pseudolikelihood = {res:-147.49191}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       820
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}     55.08
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-147.49191{txt}{col 49}Pseudo R2{col 67}= {res}    0.1253

{txt}{ralign 78:(Std. Err. adjusted for {res:75} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   diedcovid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}eth_frac13 {c |}{col 14}{res}{space 2} 1.393172{col 26}{space 2} .8703814{col 37}{space 1}    1.60{col 46}{space 3}0.109{col 54}{space 4}-.3127445{col 67}{space 3} 3.099088
{txt}{space 3}religious {c |}{col 14}{res}{space 2} .1673416{col 26}{space 2}  .289181{col 37}{space 1}    0.58{col 46}{space 3}0.563{col 54}{space 4}-.3994427{col 67}{space 3} .7341259
{txt}ethnocentric {c |}{col 14}{res}{space 2}  .150191{col 26}{space 2} .3638188{col 37}{space 1}    0.41{col 46}{space 3}0.680{col 54}{space 4}-.5628806{col 67}{space 3} .8632627
{txt}{space 6}voteeu {c |}{col 14}{res}{space 2}-.4407424{col 26}{space 2} .4476274{col 37}{space 1}   -0.98{col 46}{space 3}0.325{col 54}{space 4}-1.318076{col 67}{space 3} .4365912
{txt}{space 4}hadcovid {c |}{col 14}{res}{space 2} 1.471566{col 26}{space 2} .3816434{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .7235583{col 67}{space 3} 2.219573
{txt}{space 2}vaccinated {c |}{col 14}{res}{space 2} .8068888{col 26}{space 2} .4158888{col 37}{space 1}    1.94{col 46}{space 3}0.052{col 54}{space 4}-.0082383{col 67}{space 3} 1.622016
{txt}{space 5}Bosniak {c |}{col 14}{res}{space 2}   .85565{col 26}{space 2} .6949184{col 37}{space 1}    1.23{col 46}{space 3}0.218{col 54}{space 4} -.506365{col 67}{space 3} 2.217665
{txt}{space 7}Croat {c |}{col 14}{res}{space 2} .1787118{col 26}{space 2}  .917241{col 37}{space 1}    0.19{col 46}{space 3}0.846{col 54}{space 4}-1.619047{col 67}{space 3} 1.976471
{txt}{space 8}Serb {c |}{col 14}{res}{space 2} .3377169{col 26}{space 2} .7618007{col 37}{space 1}    0.44{col 46}{space 3}0.658{col 54}{space 4}-1.155385{col 67}{space 3} 1.830819
{txt}{space 9}Men {c |}{col 14}{res}{space 2} -.967932{col 26}{space 2} .2960305{col 37}{space 1}   -3.27{col 46}{space 3}0.001{col 54}{space 4}-1.548141{col 67}{space 3}-.3877229
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0058003{col 26}{space 2} .0107352{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-.0152403{col 67}{space 3}  .026841
{txt}{space 3}Education {c |}{col 14}{res}{space 2} .0816175{col 26}{space 2} .1097209{col 37}{space 1}    0.74{col 46}{space 3}0.457{col 54}{space 4}-.1334315{col 67}{space 3} .2966665
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.8143317{col 26}{space 2} .4020577{col 37}{space 1}   -2.03{col 46}{space 3}0.043{col 54}{space 4} -1.60235{col 67}{space 3}-.0263131
{txt}{space 2}unemployed {c |}{col 14}{res}{space 2}  .062041{col 26}{space 2} .4897847{col 37}{space 1}    0.13{col 46}{space 3}0.899{col 54}{space 4}-.8979194{col 67}{space 3} 1.022001
{txt}{space 10}rs {c |}{col 14}{res}{space 2}-.2628348{col 26}{space 2} .4035024{col 37}{space 1}   -0.65{col 46}{space 3}0.515{col 54}{space 4}-1.053685{col 67}{space 3} .5280154
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.580023{col 26}{space 2} 1.463607{col 37}{space 1}   -2.45{col 46}{space 3}0.014{col 54}{space 4}-6.448639{col 67}{space 3}-.7114066
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hadcovid eth_frac13 religious ethnocentric voteeu diedcovid vaccinated Bosniak Croat Serb Men age Education rural unemployed rs if sarajevocity==0 & mmx_progayindex2!=. & treatment2==2, cluster(municipality)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-315.69458}  
Iteration 1:{space 3}log pseudolikelihood = {res:-300.80351}  
Iteration 2:{space 3}log pseudolikelihood = {res:-298.03844}  
Iteration 3:{space 3}log pseudolikelihood = {res:-298.03187}  
Iteration 4:{space 3}log pseudolikelihood = {res:-298.03187}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       820
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}     41.41
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0003
{txt}Log pseudolikelihood = {res}-298.03187{txt}{col 49}Pseudo R2{col 67}= {res}    0.0559

{txt}{ralign 78:(Std. Err. adjusted for {res:75} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    hadcovid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}eth_frac13 {c |}{col 14}{res}{space 2} .7070312{col 26}{space 2} .6877397{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.6409138{col 67}{space 3} 2.054976
{txt}{space 3}religious {c |}{col 14}{res}{space 2}-.1109199{col 26}{space 2} .1637469{col 37}{space 1}   -0.68{col 46}{space 3}0.498{col 54}{space 4}-.4318579{col 67}{space 3} .2100181
{txt}ethnocentric {c |}{col 14}{res}{space 2}-.1464515{col 26}{space 2} .2396818{col 37}{space 1}   -0.61{col 46}{space 3}0.541{col 54}{space 4}-.6162193{col 67}{space 3} .3233162
{txt}{space 6}voteeu {c |}{col 14}{res}{space 2} .1451254{col 26}{space 2} .2640639{col 37}{space 1}    0.55{col 46}{space 3}0.583{col 54}{space 4}-.3724303{col 67}{space 3} .6626812
{txt}{space 3}diedcovid {c |}{col 14}{res}{space 2} 1.442669{col 26}{space 2} .3778416{col 37}{space 1}    3.82{col 46}{space 3}0.000{col 54}{space 4} .7021135{col 67}{space 3} 2.183225
{txt}{space 2}vaccinated {c |}{col 14}{res}{space 2} .0962241{col 26}{space 2} .3216847{col 37}{space 1}    0.30{col 46}{space 3}0.765{col 54}{space 4}-.5342664{col 67}{space 3} .7267145
{txt}{space 5}Bosniak {c |}{col 14}{res}{space 2} -.419401{col 26}{space 2} .4056387{col 37}{space 1}   -1.03{col 46}{space 3}0.301{col 54}{space 4}-1.214438{col 67}{space 3} .3756362
{txt}{space 7}Croat {c |}{col 14}{res}{space 2} -.365303{col 26}{space 2} .4177367{col 37}{space 1}   -0.87{col 46}{space 3}0.382{col 54}{space 4}-1.184052{col 67}{space 3} .4534458
{txt}{space 8}Serb {c |}{col 14}{res}{space 2}-.3502815{col 26}{space 2} .5270717{col 37}{space 1}   -0.66{col 46}{space 3}0.506{col 54}{space 4}-1.383323{col 67}{space 3} .6827601
{txt}{space 9}Men {c |}{col 14}{res}{space 2}  .245583{col 26}{space 2}  .213039{col 37}{space 1}    1.15{col 46}{space 3}0.249{col 54}{space 4}-.1719657{col 67}{space 3} .6631317
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0058689{col 26}{space 2} .0078586{col 37}{space 1}   -0.75{col 46}{space 3}0.455{col 54}{space 4}-.0212715{col 67}{space 3} .0095337
{txt}{space 3}Education {c |}{col 14}{res}{space 2} .1572353{col 26}{space 2} .0556672{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .0481296{col 67}{space 3}  .266341
{txt}{space 7}rural {c |}{col 14}{res}{space 2} .1691605{col 26}{space 2} .2703205{col 37}{space 1}    0.63{col 46}{space 3}0.531{col 54}{space 4} -.360658{col 67}{space 3}  .698979
{txt}{space 2}unemployed {c |}{col 14}{res}{space 2} -.634513{col 26}{space 2}  .326756{col 37}{space 1}   -1.94{col 46}{space 3}0.052{col 54}{space 4}-1.274943{col 67}{space 3} .0059169
{txt}{space 10}rs {c |}{col 14}{res}{space 2} .2493591{col 26}{space 2} .3084122{col 37}{space 1}    0.81{col 46}{space 3}0.419{col 54}{space 4}-.3551177{col 67}{space 3} .8538359
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.677696{col 26}{space 2} .9127126{col 37}{space 1}   -2.93{col 46}{space 3}0.003{col 54}{space 4}-4.466579{col 67}{space 3}-.8888118
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit vaccinated eth_frac13 religious ethnocentric voteeu hadcovid diedcovid Bosniak Croat Serb Men age Education rural unemployed rs if sarajevocity==0 & mmx_progayindex2!=. & treatment2==2, cluster(municipality)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -384.1059}  
Iteration 1:{space 3}log pseudolikelihood = {res:  -323.755}  
Iteration 2:{space 3}log pseudolikelihood = {res:-316.68531}  
Iteration 3:{space 3}log pseudolikelihood = {res:-316.53204}  
Iteration 4:{space 3}log pseudolikelihood = {res:-316.53156}  
Iteration 5:{space 3}log pseudolikelihood = {res:-316.53156}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       820
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}     95.97
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-316.53156{txt}{col 49}Pseudo R2{col 67}= {res}    0.1759

{txt}{ralign 78:(Std. Err. adjusted for {res:75} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  vaccinated{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}eth_frac13 {c |}{col 14}{res}{space 2}-.2220933{col 26}{space 2} .7641013{col 37}{space 1}   -0.29{col 46}{space 3}0.771{col 54}{space 4}-1.719704{col 67}{space 3} 1.275518
{txt}{space 3}religious {c |}{col 14}{res}{space 2}-.0290518{col 26}{space 2} .1485479{col 37}{space 1}   -0.20{col 46}{space 3}0.845{col 54}{space 4}-.3202003{col 67}{space 3} .2620966
{txt}ethnocentric {c |}{col 14}{res}{space 2}-.0077672{col 26}{space 2}  .227516{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-.4536903{col 67}{space 3} .4381559
{txt}{space 6}voteeu {c |}{col 14}{res}{space 2}-.0857848{col 26}{space 2} .2452111{col 37}{space 1}   -0.35{col 46}{space 3}0.726{col 54}{space 4}-.5663897{col 67}{space 3} .3948202
{txt}{space 4}hadcovid {c |}{col 14}{res}{space 2}  .177218{col 26}{space 2} .3218223{col 37}{space 1}    0.55{col 46}{space 3}0.582{col 54}{space 4}-.4535421{col 67}{space 3} .8079781
{txt}{space 3}diedcovid {c |}{col 14}{res}{space 2} .8659319{col 26}{space 2} .4293079{col 37}{space 1}    2.02{col 46}{space 3}0.044{col 54}{space 4} .0245039{col 67}{space 3}  1.70736
{txt}{space 5}Bosniak {c |}{col 14}{res}{space 2}-.2358915{col 26}{space 2} .3366043{col 37}{space 1}   -0.70{col 46}{space 3}0.483{col 54}{space 4}-.8956239{col 67}{space 3} .4238408
{txt}{space 7}Croat {c |}{col 14}{res}{space 2}  .293655{col 26}{space 2} .4377938{col 37}{space 1}    0.67{col 46}{space 3}0.502{col 54}{space 4} -.564405{col 67}{space 3} 1.151715
{txt}{space 8}Serb {c |}{col 14}{res}{space 2}-.3218068{col 26}{space 2} .5100859{col 37}{space 1}   -0.63{col 46}{space 3}0.528{col 54}{space 4}-1.321557{col 67}{space 3} .6779433
{txt}{space 9}Men {c |}{col 14}{res}{space 2} .1412186{col 26}{space 2}  .209724{col 37}{space 1}    0.67{col 46}{space 3}0.501{col 54}{space 4}-.2698328{col 67}{space 3}   .55227
{txt}{space 9}age {c |}{col 14}{res}{space 2}  .051177{col 26}{space 2}   .00691{col 37}{space 1}    7.41{col 46}{space 3}0.000{col 54}{space 4} .0376337{col 67}{space 3} .0647203
{txt}{space 3}Education {c |}{col 14}{res}{space 2} .2333193{col 26}{space 2} .0550766{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} .1253711{col 67}{space 3} .3412675
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.2787154{col 26}{space 2} .2321339{col 37}{space 1}   -1.20{col 46}{space 3}0.230{col 54}{space 4}-.7336895{col 67}{space 3} .1762587
{txt}{space 2}unemployed {c |}{col 14}{res}{space 2}-1.438953{col 26}{space 2} .4429099{col 37}{space 1}   -3.25{col 46}{space 3}0.001{col 54}{space 4} -2.30704{col 67}{space 3}-.5708652
{txt}{space 10}rs {c |}{col 14}{res}{space 2} .9744392{col 26}{space 2} .4137571{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .1634901{col 67}{space 3} 1.785388
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.038763{col 26}{space 2} .7493541{col 37}{space 1}   -6.72{col 46}{space 3}0.000{col 54}{space 4} -6.50747{col 67}{space 3}-3.570056
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Table 14:  Cultural Receptivity Measures, Pearson’s Correlation Coefficient
. pwcorr voteeu ethnocentric religious if sarajevocity==0, sig

             {txt}{c |}   voteeu ethnoc~c religi~s
{hline 13}{c +}{hline 27}
      voteeu {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
ethnocentric {c |} {res} -0.0061   1.0000 
             {txt}{c |}{res}   0.7485
             {txt}{c |}
   religious {c |} {res}  0.0111   0.1311   1.0000 
             {txt}{c |}{res}   0.5601   0.0000
             {txt}{c |}

{com}. 
. *Table 15:  Cultural Receptivity Factor Analysis
. factor eth_frac13 voteeu ethnocentric religious if sarajevocity==0
{txt}(obs=2,733)

Factor analysis/correlation{col 50}Number of obs    = {res}     2,733
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       2
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       6

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      0.16463      0.13856            3.9764       3.9764
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}      0.02607      0.05735            0.6296       4.6060
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.03128      0.08673           -0.7556       3.8504
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}     -0.11801            .           -2.8504       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}6{txt})  ={res}   57.25{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{space 1}{ralign 8:Factor2}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:eth_frac13}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1210}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0945}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9764}}}{space 1}
{space 4}{space 0}{ralign 12:voteeu}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1247}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9835}}}{space 1}
{space 4}{space 0}{ralign 12:ethnocentric}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2765}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0316}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9225}}}{space 1}
{space 4}{space 0}{ralign 12:religious}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2693}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0245}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9269}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{c  BT}{hline 14}

{com}. 
. *Table 16:  Variance Inflation Factor
. reg progayindex2 i.treatment2 c.eth_frac13  voteeu ethnocentric religious if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,403
                                                {txt}F(6, 93)          =  {res}     9.00
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0369
                                                {txt}Root MSE          =    {res} .81296

{txt}{ralign 78:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}progayindex2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0133815{col 26}{space 2} .0652208{col 37}{space 1}   -0.21{col 46}{space 3}0.838{col 54}{space 4}-.1428971{col 67}{space 3} .1161342
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2185277{col 26}{space 2}  .070342{col 37}{space 1}    3.11{col 46}{space 3}0.003{col 54}{space 4} .0788423{col 67}{space 3}  .358213
{txt}{space 12} {c |}
{space 2}eth_frac13 {c |}{col 14}{res}{space 2} .1932289{col 26}{space 2} .1967311{col 37}{space 1}    0.98{col 46}{space 3}0.329{col 54}{space 4}-.1974401{col 67}{space 3}  .583898
{txt}{space 6}voteeu {c |}{col 14}{res}{space 2} .1296631{col 26}{space 2} .0482515{col 37}{space 1}    2.69{col 46}{space 3}0.009{col 54}{space 4} .0338452{col 67}{space 3}  .225481
{txt}ethnocentric {c |}{col 14}{res}{space 2}-.1482573{col 26}{space 2} .0517905{col 37}{space 1}   -2.86{col 46}{space 3}0.005{col 54}{space 4}-.2511029{col 67}{space 3}-.0454116
{txt}{space 3}religious {c |}{col 14}{res}{space 2}-.0987988{col 26}{space 2} .0311331{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-.1606229{col 67}{space 3}-.0369747
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0898768{col 26}{space 2} .1121308{col 37}{space 1}    0.80{col 46}{space 3}0.425{col 54}{space 4}-.1327929{col 67}{space 3} .3125464
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. vif

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
{space 2}treatment2 {c |}
{space 10}1  {c |} {res}     1.34    0.745253
{txt}{space 10}2  {c |} {res}     1.32    0.756941
{txt}{space 2}eth_frac13 {c |} {res}     1.01    0.993761
{txt}{space 6}voteeu {c |} {res}     1.01    0.989543
{txt}ethnocentric {c |} {res}     1.03    0.975541
{txt}{space 3}religious {c |} {res}     1.03    0.972578
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     1.12
{txt}
{com}. 
. *Ethnic Fractionalization Histogram"
. histogram eth_frac13 , normal percent
{txt}(bin={res}35{txt}, start={res}.00516977{txt}, width={res}.01865922{txt})
{res}{txt}
{com}. 
. *Note: Code for alternative survey based "diversity" index provided in "Social Forces Replication Instructions". Variable already generated.
. 
. *Table 17:  Correlations with Individual Diversity Experience (OLS Regression)
. reg diversity  voteeu ethnocentric religious if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,733
                                                {txt}F(3, 94)          =  {res}     8.09
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0226
                                                {txt}Root MSE          =    {res} .27229

{txt}{ralign 78:(Std. Err. adjusted for {res:95} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   diversity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}voteeu {c |}{col 14}{res}{space 2}  .042956{col 26}{space 2} .0239031{col 37}{space 1}    1.80{col 46}{space 3}0.076{col 54}{space 4}-.0045042{col 67}{space 3} .0904161
{txt}ethnocentric {c |}{col 14}{res}{space 2}-.0595377{col 26}{space 2}  .021912{col 37}{space 1}   -2.72{col 46}{space 3}0.008{col 54}{space 4}-.1030445{col 67}{space 3}-.0160309
{txt}{space 3}religious {c |}{col 14}{res}{space 2}-.0317559{col 26}{space 2} .0142619{col 37}{space 1}   -2.23{col 46}{space 3}0.028{col 54}{space 4}-.0600733{col 67}{space 3}-.0034386
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3113581{col 26}{space 2} .0464605{col 37}{space 1}    6.70{col 46}{space 3}0.000{col 54}{space 4} .2191098{col 67}{space 3} .4036064
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Table 18:  Change in LGBT+ Support Over Time Outside Sarajevo (OLS Regression)
. reg mmx_progayindex2 i.treatment2 diversity if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,463
                                                {txt}F(3, 93)          =  {res}     4.46
                                                {txt}Prob > F          = {res}    0.0057
                                                {txt}R-squared         = {res}    0.0233
                                                {txt}Root MSE          =    {res}  .1985

{txt}{ralign 78:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mmx_progay~2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}treatment2 {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0123436{col 26}{space 2} .0152364{col 37}{space 1}   -0.81{col 46}{space 3}0.420{col 54}{space 4}-.0426001{col 67}{space 3}  .017913
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0434936{col 26}{space 2} .0162436{col 37}{space 1}    2.68{col 46}{space 3}0.009{col 54}{space 4}  .011237{col 67}{space 3} .0757503
{txt}{space 12} {c |}
{space 3}diversity {c |}{col 14}{res}{space 2}  .060574{col 26}{space 2} .0276393{col 37}{space 1}    2.19{col 46}{space 3}0.031{col 54}{space 4} .0056879{col 67}{space 3} .1154602
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1445014{col 26}{space 2} .0137282{col 37}{space 1}   10.53{col 46}{space 3}0.000{col 54}{space 4}   .11724{col 67}{space 3} .1717629
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg mmx_progayindex2 i.treatment2##c.diversity if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,463
                                                {txt}F(5, 93)          =  {res}     3.19
                                                {txt}Prob > F          = {res}    0.0105
                                                {txt}R-squared         = {res}    0.0274
                                                {txt}Root MSE          =    {res} .19817

{txt}{ralign 88:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      mmx_progayindex2{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treatment2 {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-.0191487{col 36}{space 2} .0174948{col 47}{space 1}   -1.09{col 56}{space 3}0.277{col 64}{space 4}  -.05389{col 77}{space 3} .0155925
{txt}{space 20}2  {c |}{col 24}{res}{space 2} .0170714{col 36}{space 2}  .018213{col 47}{space 1}    0.94{col 56}{space 3}0.351{col 64}{space 4}-.0190959{col 77}{space 3} .0532388
{txt}{space 22} {c |}
{space 13}diversity {c |}{col 24}{res}{space 2} .0061486{col 36}{space 2} .0426943{col 47}{space 1}    0.14{col 56}{space 3}0.886{col 64}{space 4}-.0786338{col 77}{space 3}  .090931
{txt}{space 22} {c |}
treatment2#c.diversity {c |}
{space 20}1  {c |}{col 24}{res}{space 2} .0327612{col 36}{space 2} .0576532{col 47}{space 1}    0.57{col 56}{space 3}0.571{col 64}{space 4}-.0817267{col 77}{space 3} .1472491
{txt}{space 20}2  {c |}{col 24}{res}{space 2} .1067663{col 36}{space 2} .0544346{col 47}{space 1}    1.96{col 56}{space 3}0.053{col 64}{space 4}  -.00133{col 77}{space 3} .2148625
{txt}{space 22} {c |}
{space 17}_cons {c |}{col 24}{res}{space 2} .1560732{col 36}{space 2} .0151843{col 47}{space 1}   10.28{col 56}{space 3}0.000{col 64}{space 4} .1259203{col 77}{space 3} .1862261
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg mmx_progayindex2 i.treatment2##c.diversity  voteeu ethnocentric religious hadcovid diedcovid vaccinated Bosniak Croat Serb Men age Education rural unemployed  rs if sarajevocity==0, cluster(municipality)

{txt}Linear regression                               Number of obs     = {res}     2,402
                                                {txt}F(20, 93)         =  {res}     7.26
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0919
                                                {txt}Root MSE          =    {res} .19246

{txt}{ralign 88:(Std. Err. adjusted for {res:94} clusters in municipality)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      mmx_progayindex2{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treatment2 {c |}
{space 20}1  {c |}{col 24}{res}{space 2} -.005701{col 36}{space 2} .0183274{col 47}{space 1}   -0.31{col 56}{space 3}0.756{col 64}{space 4}-.0420956{col 77}{space 3} .0306935
{txt}{space 20}2  {c |}{col 24}{res}{space 2} .0185417{col 36}{space 2} .0194887{col 47}{space 1}    0.95{col 56}{space 3}0.344{col 64}{space 4}-.0201589{col 77}{space 3} .0572424
{txt}{space 22} {c |}
{space 13}diversity {c |}{col 24}{res}{space 2}-.0155241{col 36}{space 2} .0438763{col 47}{space 1}   -0.35{col 56}{space 3}0.724{col 64}{space 4}-.1026537{col 77}{space 3} .0716054
{txt}{space 22} {c |}
treatment2#c.diversity {c |}
{space 20}1  {c |}{col 24}{res}{space 2} .0268517{col 36}{space 2} .0606002{col 47}{space 1}    0.44{col 56}{space 3}0.659{col 64}{space 4}-.0934883{col 77}{space 3} .1471917
{txt}{space 20}2  {c |}{col 24}{res}{space 2} .1105755{col 36}{space 2} .0550566{col 47}{space 1}    2.01{col 56}{space 3}0.048{col 64}{space 4}  .001244{col 77}{space 3}  .219907
{txt}{space 22} {c |}
{space 16}voteeu {c |}{col 24}{res}{space 2} .0332988{col 36}{space 2} .0118851{col 47}{space 1}    2.80{col 56}{space 3}0.006{col 64}{space 4} .0096974{col 77}{space 3} .0569001
{txt}{space 10}ethnocentric {c |}{col 24}{res}{space 2}-.0358657{col 36}{space 2} .0111291{col 47}{space 1}   -3.22{col 56}{space 3}0.002{col 64}{space 4}-.0579659{col 77}{space 3}-.0137656
{txt}{space 13}religious {c |}{col 24}{res}{space 2} -.021059{col 36}{space 2} .0076277{col 47}{space 1}   -2.76{col 56}{space 3}0.007{col 64}{space 4}-.0362062{col 77}{space 3}-.0059118
{txt}{space 14}hadcovid {c |}{col 24}{res}{space 2} .0233386{col 36}{space 2} .0262186{col 47}{space 1}    0.89{col 56}{space 3}0.376{col 64}{space 4}-.0287264{col 77}{space 3} .0754036
{txt}{space 13}diedcovid {c |}{col 24}{res}{space 2}  .161584{col 36}{space 2} .0624707{col 47}{space 1}    2.59{col 56}{space 3}0.011{col 64}{space 4} .0375297{col 77}{space 3} .2856384
{txt}{space 12}vaccinated {c |}{col 24}{res}{space 2}-.0080344{col 36}{space 2} .0199458{col 47}{space 1}   -0.40{col 56}{space 3}0.688{col 64}{space 4}-.0476429{col 77}{space 3} .0315741
{txt}{space 15}Bosniak {c |}{col 24}{res}{space 2} .0028081{col 36}{space 2}  .037507{col 47}{space 1}    0.07{col 56}{space 3}0.940{col 64}{space 4}-.0716734{col 77}{space 3} .0772897
{txt}{space 17}Croat {c |}{col 24}{res}{space 2} .0354026{col 36}{space 2} .0430401{col 47}{space 1}    0.82{col 56}{space 3}0.413{col 64}{space 4}-.0500665{col 77}{space 3} .1208718
{txt}{space 18}Serb {c |}{col 24}{res}{space 2}-.0086703{col 36}{space 2} .0413527{col 47}{space 1}   -0.21{col 56}{space 3}0.834{col 64}{space 4}-.0907886{col 77}{space 3}  .073448
{txt}{space 19}Men {c |}{col 24}{res}{space 2}-.0402971{col 36}{space 2}  .009243{col 47}{space 1}   -4.36{col 56}{space 3}0.000{col 64}{space 4}-.0586518{col 77}{space 3}-.0219424
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.0006733{col 36}{space 2} .0002939{col 47}{space 1}   -2.29{col 56}{space 3}0.024{col 64}{space 4}-.0012568{col 77}{space 3}-.0000897
{txt}{space 13}Education {c |}{col 24}{res}{space 2} .0121014{col 36}{space 2}  .002969{col 47}{space 1}    4.08{col 56}{space 3}0.000{col 64}{space 4} .0062056{col 77}{space 3} .0179972
{txt}{space 17}rural {c |}{col 24}{res}{space 2}-.0205739{col 36}{space 2} .0128156{col 47}{space 1}   -1.61{col 56}{space 3}0.112{col 64}{space 4}-.0460233{col 77}{space 3} .0048754
{txt}{space 12}unemployed {c |}{col 24}{res}{space 2}-.0056916{col 36}{space 2} .0099771{col 47}{space 1}   -0.57{col 56}{space 3}0.570{col 64}{space 4}-.0255042{col 77}{space 3}  .014121
{txt}{space 20}rs {c |}{col 24}{res}{space 2} .0165606{col 36}{space 2} .0182439{col 47}{space 1}    0.91{col 56}{space 3}0.366{col 64}{space 4} -.019668{col 77}{space 3} .0527893
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .2036088{col 36}{space 2} .0565432{col 47}{space 1}    3.60{col 56}{space 3}0.001{col 64}{space 4} .0913251{col 77}{space 3} .3158925
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\swhitt\Desktop\Social Forces Revision 1\Social Forces Replication Log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}24 Apr 2023, 16:06:34
{txt}{.-}
{smcl}
{txt}{sf}{ul off}